{"@context":"https://schema.org","@type":"ItemList","name":"Product Manager Job Role - Responsibilities, Skills, and Career Insights","description":"Explore the role of a Product Manager, including key responsibilities, skills, salary range, and career growth opportunities. Learn about the dynamic field of Product Management and the essential tools and techniques to succeed.","itemListElement":[{"@type":"ListItem","position":1,"item":{"@type":"JobPosting","title":"Product Manager, Data Platform","datePosted":"2025-08-11","description":"

Opportunity Overview:

We are seeking an experienced Product Manager to work on the team that owns Cohere’s Data Platform. The data platform supports the entire Cohere portfolio including AI and ML processing, business intelligence, analytics, actuarial use and more. It serves as the data lifeline to the organization supporting our products and enabling downstream users. This role will be responsible for driving our data store strategy supporting a plethora of use cases all driven off of analytically ready data for downstream use. This person will collaborate across the business working with product, clinical, technical, actuarial teams and other stakeholders. This role requires you to have a solid understanding of healthcare data, supporting pipelines, cloud architecture and platforms.

What you’ll do:

Work with the Data Platform Product Leader, the wider team and key stakeholders to define, deliver and own strategic data stores and ensure data are fit for purpose.
Define requirements for storing and accessing patient event data.
Champion and drive best practices for data stewardship and data quality across internal teams and external partners.
Partner with the technology team to develop and maintain data contracts to ensure schema and integrity across ingestion and processing pipelines feeding the data stores.
Support the creation and maintenance data dictionaries to standardize definitions and improve usability.
Partner with upstream product management, data and engineering to ensure data accuracy, completeness, and consistency.
Partner with data governance teams to enforce data lineage, access controls, and compliance.
Act as a platform evangelist for the use of trusted, well documented datastores sourced within Cohere’s Data Platform.

What you’ll need:

Proven experience (3 years) as a Product Manager, Product Owner, or similar role in the healthcare domain, with at least 2 years of experience focused on data platforms, data analytics, or related technologies.
Deep understanding of data concepts, tools, and technologies (e.g., data warehousing, ETL, reporting, Cloud environments, dashboards, predictive analytics).
Demonstrated experimentation mindset and data-informed decision-making.
Proven track record of collaborating with engineering, AI/ML, and analytics teams to deliver high-quality data.
Strong analytical skills and ability to translate complex data and technical concepts into usable assets
Ability to translate business needs into technical data platform requirements
Strong problem-solving skills and willingness to roll up one’s sleeves to get the job done.
Experience working in Agile/Scrum environments and proficiency with project management tools (e.g., JIRA, Trello).
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and BI platforms (e.g., Tableau, Power BI, Qlik).

Preferred Qualifications:

Experience working in a SaaS or technology-driven company.
Knowledge of machine learning, artificial intelligence, and advanced analytics techniques.
Certification in product management (e.g., Certified Scrum Product Owner, Pragmatic Marketing Certified).
Experience with data governance, security, and compliance requirements (e.g., NCQA, HIPAA)

Pay & Perks:

💻 Fully remote opportunity with about 10% travel

🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program

📈 401K retirement plan with company match; flexible spending and health savings account

🏝️ Up to 184 hours (23 days) of PTO per year + company holidays

👶 Up to 14 weeks of paid parental leave

🐶 Pet insurance 

The salary range for this position is $125,000 to $140,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment.

Interview Process*:

Connect with Talent Acquisition for a Preliminary Phone Screening
Meet your Hiring Manager!
Cross-functional Behavioral Interview
Peer Behavioral Interview

*Subject to change

About Cohere Health:

Cohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options, using cutting-edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health plans covering over 15 million lives, while our revenues and company size have quadrupled. That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work; Top 5 LinkedIn™ Startup; TripleTree iAward; multiple KLAS Research Points of Light awards, along with recognition on Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement:

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal.

#LI-Remote

#BI-Remote

","hiringOrganization":{"@type":"Organization","name":"Cohere Health","sameAs":"https://coherehealth.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":2,"item":{"@type":"JobPosting","title":"Product Manager, People Data Platform","datePosted":"2025-08-09","description":"Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for Product Managers who value moving quickly.Product Manager, People Data Platform Responsibilities

Be responsible for leading and driving a complex product area
defining success, prioritizing problems and identifying the best strategies, considering wider organizational and company context. Adapt and adjust your strategies to reflect learnings and changes in context
Identify and drive consensus for how to prioritize and realize the most significant opportunities in your product area. Identify when to stop as well as when to start investment
Work with a cross-functional team to define a product strategy, develop a roadmap and drive progress against goals and milestones and resolve challenges and blockers, whilst improving team health and up-levelling the effectiveness of the team
Actively identify opportunities and resolve dependencies by creating shared strategies across teams in adjacent product areas
Gather and analyze user research and market analysis to inform product decisions and influence the wider product organization
Influence strategy and progress across partner functions, enhancing collaboration and resolving divergent goals
Communicate product strategy and progress with radical clarity to all stakeholders
Support the growth of other PMs and cross-functional team members by providing mentorship and coaching

Minimum Qualifications

8+ years of relevant industry experience with at least 3 years in Product Management
Bachelor's degree (or relevant degree equivalent): STEM subject ideal but not essential (Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences)
Experience leading cross-functional product team(s) across a full product line: Crafting product mission and strategy, defining product requirements, coordinating resources from other groups (marketing, legal, etc.), and driving the team to achieve key milestones and goals
Experience managing a product through the full product lifecycle
Proven experience to drive a step change in the performance of a product and the effectiveness of the team that delivers that product
Extensive understanding in analyzing large scale, complex data sets and making effective decisions based on data
Experience integrating a broad set of requirements from a broad set of users as well as context into a single coherent product strategy
Experience leading and motivating teams and influencing across an organization
Demonstrated experience in communication, bringing extreme clarity to complex messages
Experience identifying and hiring the right talent to build a cross-functional team

Preferred Qualifications

Experience building analytics platforms or machine learning data infrastructure within leading technology platforms, digital media companies, or consumer-facing internet organizations
MBA or equivalent strategic business experience is advantageous
Technical degree (Computer Science, Engineering, Data Science, or related field) strongly preferred
Experience managing high-visibility, strategic initiatives at scale, including influencing executive-level stakeholders

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$171,000/year to $238,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Los Angeles, CA | Bellevue, WA | Menlo Park, CA | New York, NY | San Francisco, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":3,"item":{"@type":"JobPosting","title":"Product Manager - Crossix Data Platform","datePosted":"2025-08-05","description":"Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.
At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.
Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.
The Role
As a Product Manager on the Crossix Data Platform team, you will own the design and execution for major components of our SafeMine Cloud Product.
SafeMine Cloud is a data pipeline product that collects, matches, de-identifies, and extracts health data while maintaining patient privacy for Crossix Analytics and the Veeva Compass suite of products.
You are excited about big data and building data pipelines that deliver quality data. You are comfortable working with a cross-functional team, ranging from the Development team to peers on the Product Management and Operations team. You will help shape the future of the product. This will include designing features, writing detailed product specifications, and working with the Development team to bring designs to fruition. This is a great opportunity for someone who is excited about product design from the early days and thinking strategically about data pipelines and architecture for scalability, reliability, privacy, and quality in data delivery.\n

What You'll Do

Own and design product features from start to finish, including user stories, functional & non-functional requirements, feature specifications, quality control checks
Manage the prioritization and focus on data pipeline enhancements
Author high-quality design specifications within an agile methodology based upon industry and downstream systems/customer requirements
Support release and sprint planning to ensure product enhancements support the needs of the internal customers at the right time and in the right sequence
Collaborate closely with Development, Data Analysts, QA, DevOps, and Product Management to ensure products are built and delivered with quality
Be accountable for the success of the product - define and analyze product metrics and quantified methodology for data quality
Acquire deep subject matter expertise in healthcare data

Requirements

2+ years of hands-on product management experience/technical services/engineering/data analytics or other related positions in the data platforms space
4+ years of hands-on technical experience in engineering, solution architecture, data analytics, or other related positions in the data platforms space
Strong understanding of all aspects of the product development lifecycle, including the definition of requirements, engineering, QA, and deployment
Previous experience with big data and working on data pipelines, such as designing ETL/ELT processes, schemas, and QC checks
Proficient in SQL
Understanding of cloud-based applications and designs
Strong problem-solving and analytical capabilities
Excellent communication and interpersonal skills, proficiency in English
BA/MA/BSc/MSc in relevant fields

Nice to Have

Experience in the Life Sciences industry, SaaS, and/or enterprise products
Understanding of healthcare data, including Rx Claims, Medical Claims, and EHR
Understanding of NoSql databases

LI-MidSenior
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.
If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent_accommodations@veeva.com.","hiringOrganization":{"@type":"Organization","name":"Veeva Systems","sameAs":"https://www.veeva.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Israel - Kiryat Ono","addressCountry":"Israel","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":4,"item":{"@type":"JobPosting","title":"Principal Product Manager, Data Platform","datePosted":"2025-08-12","description":"

Our mission at Greenhouse is to make every company great at hiring – so we go to great lengths to hire great people because we believe that they’re the foundation of our success. At Greenhouse, you’ll join a team that collaborates purposefully, fosters inclusivity, and communicates with transparency and accountability so we can help companies measurably improve the way they hire.

Join us to do the best work of your career, solving meaningful problems with remarkable teams.

Greenhouse is looking for a Principal Product Manager, Data Platform to join our team!

As one of the most senior individual contributors on our Product team, you’ll own Greenhouse’s data strategy across our product suite. You’ll drive alignment between engineering investment and customer value across the highest used parts of our products. Your customers are both internal and external - platform and product teams, monetization teams, partners, and end users.

This is an exciting opportunity for a product leader who is passionate about data, understands the nuances of SaaS products, and thrives in a collaborative, fast-paced environment. If you're a strategic thinker with a knack for translating complex data into clear, actionable insights, we encourage you to apply!

Who will love this job

A Data Strategist - You are passionate about leveraging data to drive business objectives
A Cross-Functional Leader - You excel at working across multiple teams, building consensus, and driving initiatives
A Product Practitioner - You work autonomously, identify complex problems related to data architecture and reporting, and aren’t afraid to do the work yourself
A Team Advocate - You continuously up-level your teammates’ Product abilities by implementing scalable state of the art best practices

What you’ll do

Own Greenhouse’s analytics strategy across our entire product suite, addressing current challenges and building a future vision for our data systems
Drive data decisions that holistically balance both customer needs and engineering capabilities
Build, frame, and evangelize best practices for continuous data improvement within our R&D organization
Drive the strategic evolution of our data architecture to support advanced analytics and the efficient training and operation of AI applications
Scale our data architecture in partnership with our Engineering teams, working across our organization to make data available in new places
Drive the productization of new front-end solutions and user experiences related to data

You should have

Proven experience as a seasoned Product Manager, with a strong background in evolving data products across an ecosystem
Experience leading and driving initiatives across multiple, diverse teams
A strong understanding of data architecture and experience with data platforms (e.g., Snowflake)
The ability to work independently and own complex problems from inception to resolution
Excellent prioritization and time management skills
Hands on experience working with customers to identify areas of opportunity that inform product development priorities
A strong handle of SQL and Python
Your own unique talents! If you don’t meet 100% of the qualifications outlined above, tell us why you’d be a great fit for this role in your cover letter

Applicants must be currently authorized to work in the United States on a full-time basis.

If you are based in California, we encourage you to read this important information for California residents linked here.

The national base pay range for this role is $200,000 - $230,000. Individual compensation will be commensurate with the candidate's experience and qualifications. Certain roles may be eligible for additional compensation, including stock option awards, bonuses, and merit increases. Additionally, certain roles have the opportunity to receive sales commissions that are based on the terms of the sales commission plan applicable to the role.

Greenhouse provides a variety of benefits to employees, including medical, dental, and vision insurance, basic life insurance, mental health resources, financial wellness benefits, and a fully paid parental leave program. For US-based employees, we offer short-term and long-term disability coverage, a 401(k) plan and company match. U.S. based employees also receive, per calendar year, up to 13 scheduled paid holidays and up to 80 hours of paid sick leave. Non-exempt employees accrue up to 20-25 days of paid vacation time, depending on tenure, and exempt employees have flexible time off (FTO).

The anticipated closing date for this role is August 15th, 2025.

#LI-WR1

Who we are

At Greenhouse, we live by our mission through using our own product to help us hire the right person for the job, every time. We are a remote-first company and have shared office spaces in New York City and Ireland, and optional co-working spaces that give us flexibility to do our best work anywhere. We take an active role in our growth through a performance review program that’s committed to providing actionable feedback, and a bonus structure that rewards great performance. We believe that bringing together a variety of perspectives makes us a stronger company – and we nurture leaders who create an inclusive culture and invest into employee resource groups that celebrate our differences and life experiences. We’re proud to have built an award-winning culture that’s been recognized as Fortune’s Best Places to Work and Inc.’s Best Workplaces multiple years in a row.

–

Greenhouse Software is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to accommodations@greenhouse.io.

Emails about job opportunities at Greenhouse Software are only offered by employees with @greenhouse.io email addresses. See this page on our website if you suspect a phishing scam.

Join us to do the best work of your career, solving meaningful problems with remarkable teams.

Greenhouse is looking for a Principal Product Manager, Data Platform to join our team!

Who will love this job

A Data Strategist - You are passionate about leveraging data to drive business objectives
A Cross-Functional Leader - You excel at working across multiple teams, building consensus, and driving initiatives
A Product Practitioner - You work autonomously, identify complex problems related to data architecture and reporting, and aren’t afraid to do the work yourself
A Team Advocate - You continuously up-level your teammates’ Product abilities by implementing scalable state of the art best practices

What you’ll do

Own Greenhouse’s analytics strategy across our entire product suite, addressing current challenges and building a future vision for our data systems
Drive data decisions that holistically balance both customer needs and engineering capabilities
Build, frame, and evangelize best practices for continuous data improvement within our R&D organization
Drive the strategic evolution of our data architecture to support advanced analytics and the efficient training and operation of AI applications
Scale our data architecture in partnership with our Engineering teams, working across our organization to make data available in new places
Drive the productization of new front-end solutions and user experiences related to data

You should have

Proven experience as a seasoned Product Manager, with a strong background in evolving data products across an ecosystem
Experience leading and driving initiatives across multiple, diverse teams
A strong understanding of data architecture and experience with data platforms (e.g., Snowflake)
The ability to work independently and own complex problems from inception to resolution
Excellent prioritization and time management skills
Hands on experience working with customers to identify areas of opportunity that inform product development priorities
A strong handle of SQL and Python
Your own unique talents! If you don’t meet 100% of the qualifications outlined above, tell us why you’d be a great fit for this role in your cover letter

Applicants must be legally eligible to work in Canada as of the start date chosen by the Company. We are unable to support sponsorship at this time.

For purposes of processing or administering your employment relationship, personal information that you provide to the Company may be transferred to and accessed by an affiliate in the United States or elsewhere, or to agents and contractors (such as payroll companies, insurance companies, information technology consultants, etc.) that provide services to the Company.

The national pay range for this role is $170,000 - $255,000 CAD. Individual compensation will be commensurate with the candidate's experience and qualifications. Certain roles may be eligible for additional compensation, including stock option awards, bonuses, and merit increases. Additionally, certain roles have the opportunity to receive sales commissions that are based on the terms of the sales commission plan applicable to the role.

The anticipated closing date for this role is September 5th, 2025.

#LI-WR1

Who we are

–

Emails about job opportunities at Greenhouse Software are only offered by employees with @greenhouse.io email addresses. See this page on our website if you suspect a phishing scam.

Join us to do the best work of your career, solving meaningful problems with remarkable teams.

Greenhouse is looking for a Principal Product Manager, Data Platform to join our team!

Who will love this job

A Data Strategist - You are passionate about leveraging data to drive business objectives
A Cross-Functional Leader - You excel at working across multiple teams, building consensus, and driving initiatives
A Product Practitioner - You work autonomously, identify complex problems related to data architecture and reporting, and aren’t afraid to do the work yourself
A Team Advocate - You continuously up-level your teammates’ Product abilities by implementing scalable state of the art best practices

What you’ll do

Own Greenhouse’s analytics strategy across our entire product suite, addressing current challenges and building a future vision for our data systems
Drive data decisions that holistically balance both customer needs and engineering capabilities
Build, frame, and evangelize best practices for continuous data improvement within our R&D organization
Drive the strategic evolution of our data architecture to support advanced analytics and the efficient training and operation of AI applications
Scale our data architecture in partnership with our Engineering teams, working across our organization to make data available in new places
Drive the productization of new front-end solutions and user experiences related to data

You should have

Proven experience as a seasoned Product Manager, with a strong background in evolving data products across an ecosystem
Experience leading and driving initiatives across multiple, diverse teams
A strong understanding of data architecture and experience with data platforms (e.g., Snowflake)
The ability to work independently and own complex problems from inception to resolution
Excellent prioritization and time management skills
Hands on experience working with customers to identify areas of opportunity that inform product development priorities
A strong handle of SQL and Python
Your own unique talents! If you don’t meet 100% of the qualifications outlined above, tell us why you’d be a great fit for this role in your cover letter

Applicants must be legally eligible to work in Canada as of the start date chosen by the Company. We are unable to support sponsorship at this time.

The anticipated closing date for this role is September 5th, 2025.

#LI-WR1

Who we are

–

Emails about job opportunities at Greenhouse Software are only offered by employees with @greenhouse.io email addresses. See this page on our website if you suspect a phishing scam.

","hiringOrganization":{"@type":"Organization","name":"Greenhouse","sameAs":"https://www.greenhouse.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"British Columbia","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":7,"item":{"@type":"JobPosting","title":"Senior Product Manager- Data Platform","datePosted":"2025-08-19","description":"At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.

**Travel to Office expectations**For Remote Roles: As this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: As this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.

Position Summary: PointClickCare is looking for an outstanding Senior Product Manager – Data Platform. In this role, you contribute to the PointClickCare’s data platform vision and strategy, define and own roadmaps, and drive execution and delivery of products to ensure overall success across the entire product portfolio. You represent the needs of customers, healthcare providers, industry partners and other related network members internally and externally. To succeed in this role, you draw upon your extensive knowledge and experience of health data and its uses, data pipelines, governance and related tools. You have a track record of building sophisticated solutions – from discovery to implementation to delivery. You bring a collaborative approach to this cross functional leadership role to ensure successful outcomes for our customers, while optimizing time to value. Key Responsibilities: - Understand and represent the needs of current and future users of the data platform - Contribute to strategy and multi-year roadmap to enable products and users with real time intelligence to drive innovation, accelerate use of AI that enables improved health outcomes and business goals - Build and manage backlogs and prioritize product investments by making inquisitive, decisive tradeoffs using data-driven analysis and good judgement. - Collaborate with Engineering, User Experience, and other product managers leveraging modern agile processes and Design Thinking. - Liaise with Product teams and other functions to ensure successful adoption and support use in product launches and releases.
Required Experience: - 5+ years of Data Platform Product Management experience - 2+ years of experience working with data pipelines for AI use, including enrichment pipelines, and data science use. -Management of Healthcare Data and its use across the range of PointClickCare’s customer segments and users. - Work experience with Health Plans, EHRs, and Long Term Post-Acute providers is preferred. - Experience with data governance, data catalogs, and stewardship - Proven track record of managing products, innovation, and a general curiosity and drive for building great products. - Computer Science, Engineering, Information Technology, or related degree - Strong written and oral communication skills with internal and external stakeholders - Solid understanding of Agile practices - SaaS, -PaaS Cloud software experience

PointClickCare Benefits & Perks:
Benefits starting from Day 1!Retirement Plan Matching Flexible Paid Time OffWellness Support Programs and ResourcesParental & Caregiver LeavesFertility & Adoption SupportContinuous Development Support ProgramEmployee Assistance Program Allyship and Inclusion CommunitiesEmployee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.","hiringOrganization":{"@type":"Organization","name":"PointClickCare","sameAs":"https://pointclickcare.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote or Mississauga","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":8,"item":{"@type":"JobPosting","title":"Senior Product Manager(Data Platform)","datePosted":"2025-08-22","description":"

Level Up Your Career with Zynga!

At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition.

From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter: Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more!

Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level.

Join us and be part of the play!

We're searching for a Senior Product Manager (SPM) on our Data Platform team who can help drive the team’s product vision and strategy. The SPM will work closely with Data Consumers across the organization to understand their technological and data needs to help build the best in class Data products for Zynga games, ensuring that Data Scientists, Analysts (DSA)and various other data consumers are empowered to effectively and efficiently meet their business objectives.

For achieving these objectives your charter can include (but not limited to):

\n
Developing data products such as data ingestion systems, foundational ETLs and datamart.
\n
\n
Implementing and improving upon data governance, observability and quality tools and frameworks.
\n
\n
Ensuring the necessary infrastructure is in place to enable existing and future data use cases
\n

What You'll Do:

\n
Establish the product vision and strategy that will help improve DSA operations across our business.
\n
\n
Develop the product roadmap and build alignment on prioritization which drives product execution.
\n
\n
Partner with a wide variety of data consumers to understand user needs and establish. success criteria with clearly measurable objectives and key results to deliver a great end-user experience.
\n
\n
Be or become an expert in enterprise data strategies and technologies including key vendors in the space, pros and cons of competing approaches, and trade-offs involved with different strategies.
\n
\n
Partner with a world-class, globally distributed team of Data Engineers to execute on product deliverables and deliver on the team’s mission.
\n
\n
Innovating on novel opportunities to unlock new data-driven insights and applications to create business value across different functions and levels.
\n
\n
Develop go-to-market and support strategies for globally distributed client teams across different studios
\n
\n
Define and analyze metrics that inform product success & health.
\n
\n
Communicate concisely and influence outcomes.
\n

What You Bring:

\n
Strong analytical and problem solving skills are a must with a Bachelor's degree in Computer Science, Statistics, Mathematics, or related field. Master's degree or Ph.D. preferred..
\n
\n
8+ years of experience in data product management, product management, or related field.
\n
\n
A track record for high performance and team/project leadership.
\n
\n
A technical undergraduate degree and/or equivalent work experience in highly technical environment. Technical understanding must go from the highest abstractions down to the metal.
\n
\n
Proven experience delivering highly successful products with your fingerprints all over them - you’re extremely proud of what you’ve accomplished.
\n
\n
Experience building and launching data products and global data platforms at scale.
\n
\n
Demonstrated experience with scoping projects, collecting requirements, creating product specifications, carrying features from ideation to deployment.
\n
\n
Good knowledge of agile software development methodologies and software development life cycle.
\n
\n
Demonstrated experience in collaborating across global teams in different organizations.
\n
\n
Demonstrated capacity for developing and understanding strategy.
\n
\n
Excellent communication, leadership, and project management skills.
\n

What We Offer You :

Zynga offers a world-class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits

#LI-Hybrid

We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic – not an individual’s race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law.

As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at accommodationrequest@zynga.com to request any accommodations or for support related to your application for an open position.

Please be aware that Zynga does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Zynga also does not engage in any financial exchanges during the recruitment or onboarding process, and will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scamp or phishing attack, and you should not engage. Zynga’s in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a zynga.com, naturalmotion.com, smallgiantgames.com, themavens.com, gram.gs email domain).

","hiringOrganization":{"@type":"Organization","name":"Zynga","sameAs":"https://www.zynga.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"Senior Product Manager- Data Platform","datePosted":"2025-08-19","description":"At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.

**Travel to Office expectations**For Remote Roles: As this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: As this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.

Position Summary: PointClickCare is looking for an outstanding Senior Product Manager – Data Platform. In this role, you contribute to the PointClickCare’s data platform vision and strategy, define and own roadmaps, and drive execution and delivery of products to ensure overall success across the entire product portfolio. You represent the needs of customers, healthcare providers, industry partners and other related network members internally and externally. To succeed in this role, you draw upon your extensive knowledge and experience of health data and its uses, data pipelines, governance and related tools. You have a track record of building sophisticated solutions – from discovery to implementation to delivery. You bring a collaborative approach to this cross functional leadership role to ensure successful outcomes for our customers, while optimizing time to value. Key Responsibilities: - Understand and represent the needs of current and future users of the data platform - Contribute to strategy and multi-year roadmap to enable products and users with real time intelligence to drive innovation, accelerate use of AI that enables improved health outcomes and business goals - Build and manage backlogs and prioritize product investments by making inquisitive, decisive tradeoffs using data-driven analysis and good judgement. - Collaborate with Engineering, User Experience, and other product managers leveraging modern agile processes and Design Thinking. - Liaise with Product teams and other functions to ensure successful adoption and support use in product launches and releases.
Required Experience: - 5+ years of Data Platform Product Management experience - 2+ years of experience working with data pipelines for AI use, including enrichment pipelines, and data science use. -Management of Healthcare Data and its use across the range of PointClickCare’s customer segments and users. - Work experience with Health Plans, EHRs, and Long Term Post-Acute providers is preferred. - Experience with data governance, data catalogs, and stewardship - Proven track record of managing products, innovation, and a general curiosity and drive for building great products. - Computer Science, Engineering, Information Technology, or related degree - Strong written and oral communication skills with internal and external stakeholders - Solid understanding of Agile practices - SaaS, -PaaS Cloud software experience

PointClickCare Benefits & Perks:
Benefits starting from Day 1!Retirement Plan Matching Flexible Paid Time OffWellness Support Programs and ResourcesParental & Caregiver LeavesFertility & Adoption SupportContinuous Development Support ProgramEmployee Assistance Program Allyship and Inclusion CommunitiesEmployee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.","hiringOrganization":{"@type":"Organization","name":"PointClickCare","sameAs":"https://pointclickcare.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":10,"item":{"@type":"JobPosting","title":"Senior Product Manager, Data Platform & AI","datePosted":"2025-07-21","description":"

Drive valuable outcomes for some of our major Data Platform products, leveraging AI
Permanent role based in Melbourne

We're REA
 
With bold and ambitious goals, REA Group  is changing the way the world experiences property. No matter where you're at on your property journey, we're here to help with every step - whether that's finding or financing your next home.

Our people are the key to our success. At the heart of everything we do, is a thriving culture centred around high performance and care. We are purpose driven and collaborative, which drives innovation and our ability to make a real impact. As such, we’re proud to have been named in Australia’s “Top 5” Best Workplaces two years in a row, as well as being recognised as a Best Workplace for Women.

Where the team fits in

The Senior Product Manager, Data Platform & AI sits within Global Technology as part of Launchpad. The mission of the ‘Data Intelligence’ pillar is to make it easy to understand, protect & leverage REA data. 

What the role is all about

Lead product discovery and analysis on evolving our platform capabilities
Work with technical counterparts to articulate the Data Intelligence pillars vision and develop an enterprise-wide perspective to support REA as a data-driven organisation
Make build vs. buy recommendations for software development using relevant industry knowledge and research.
Identify technology & AI trends and predict their impact on the market
Partner with our key internal stakeholder groups, understand their businesses, their customers’ needs, their environmental constraints, their tactical and strategic objectives
Initiate engagement forums and creating a cadence to continuously capture feedback and requirements to drive product improvements.
Review the existing product portfolio by analysing data, collecting stakeholder feedback, analysing industry & market trends to find new opportunities 
Drive complex product platform roll outs, and taking into consideration the technical system impacts, experience changes and user journeys across multiple touch points 
Build the roadmap for your team/s to deliver on the highest value initiatives
Contribute to the overarching Data Intelligence pillars strategy and articulating this to the wider business, emphasising the relevant value proposition to each line of business

Who we’re looking for

Someone with a few runs on the board: 5+ years Product Management/Product Development experience 
You've developed products/features that leveraged AI and have worked with data and/or AI in a Product management capacity
Demonstrated experience making data driven decisions, and in communicating concepts effectively using data and visualisation
Comfortable managing large, complex programs of work 
You can analyse and synthesise information on the market and connect the dots to determine an appropriate strategic approach whilst taking a whole business perspective
You can talk shop with the developers, chat with customers and pitch a business case to executives 
You're comfrtoable being close to users, understanding their challenges and both their known and unarticulated needs 
Strong analytical skills, including ability to interpret complex business needs and translate into product requirements for technical solutions
Familiarity with Data Governance, Privacy and Security concepts and policies well regarded

The REA experience

The physical, mental, emotional and financial health of our people is something we’ll never stop caring about. This is a place to learn and grow.

Some of our Perks & Benefits include: 

A hybrid and flexible approach to working
Flexible leave options including, birthday leave and purchase additional leave
Flexible parental leave offering for primary and secondary carers
Our Because We Care program offers employees volunteering leave, community grants, matched payroll giving and our Community Café donates 100% of revenue to charity
Hackdays so you can bring your big ideas to life

Our commitment to Diversity, Equity, and Inclusion  

We are committed to providing a working environment that embraces and values diversity, equity and inclusion. We believe teams with diverse ideas and experiences are more creative, more eﬀective and fuel disruptive thinking. If you've got the skills, dedication and enthusiasm to learn but don't necessarily meet every single point on the job description, please still get in touch.

Join our Talent Neighbourhood

Keen to be part of REA but didn't find a perfect match with this opportunity? Perhaps the timing isn't right? You should join our Talent Neighbourhood!

#LI-HYBRID

","hiringOrganization":{"@type":"Organization","name":"REA Group","sameAs":"https://www.rea-group.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Richmond, Melbourne VIC, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"Group Product Manager, Data Platform Engineering","datePosted":"2025-07-18","description":"

GROUP PRODUCT MANAGER, DATA PLATFORM ENGINEERING

Summary

Wikipedia and its sister projects are among the most popular media properties in the world, visited by over 1 billion people a month across over 300 different languages. These sites generate a tremendous amount of data on how people learn and collaborate. The Wikimedia Foundation is looking for a group product manager to guide the development and evolution of our data platforms, the collection of technologies we use to understand how Wikipedia works, improve its experiences, and spread free knowledge.

The group product manager is a leader in the strategic decision-making and tactical execution for the Data Products, Data Engineering, Search, and Data Platform Site Reliability teams. This role shares leadership responsibility with the Director of Engineering for Data Platform Engineering, and works in collaboration with data analysts, researchers, and product teams building user-facing features for reading and editing Wikipedia on the web and mobile apps. This is a people management role, managing two individually-contributing product managers.

In this role, you and your group of product managers will guide the evolution of our data pipelines, data lake, experiment platform, and analytics tools. This includes ingestion, orchestration, computation, and serving data using a variety of technologies such as Kafka, Flink, Hadoop, Spark, Airflow, Iceberg, Kubernetes, Superset and OpenSearch. A strong candidate will have deep experience building a data platform to serve product analytics and production needs, and be technically conversant in the relevant technologies.

This position will report to the Senior Director of Product, Core Experiences.

Candidates must be available for critical meetings and synchronous work between 15:00 UTC and 18:00 UTC, and open to traveling internationally up to four times per year.

This role is accountable for:

Ensuring the accuracy, usefulness, reliability, and accessibility of our data products
Defining and setting priorities and roadmaps for Data Platform Engineering teams across four domains: data engineering, search, experimentation, and site reliability
Product lifecycle management of the products, services, and tools of the Data Platform Engineering teams
Co-developing product strategy, providing leadership, and making and facilitating sound decisions
Managing and developing a team of product managers
Partnering with user-facing product teams to use the data platform to guide product decisions and build derived-data products

Expected skills and experience include:

Minimum of 5 years of product management experience with data or infrastructure products
Experience hiring and managing product managers
Success delivering data and analytical products and services depended on by multiple product teams
Expertise in data analytics, A/B testing, search, and data architecture
Strong understanding of modern techniques for handling high-scale data
Knowledge of search technologies
Experience navigating privacy issues around data collection, retention, and distribution
Ability to work with multiple stakeholder teams to deliver results through lateral influence and collaboration

Qualities that are important to us:

Commitment to the mission and values of the Wikimedia Foundation
Effective at asynchronous communication in a distributed workplace
Able to navigate and make decisions in circumstances with limited, incomplete, and conflicting information
Focus on iterative delivery and minimum viability to provide value to customer teams
Effective at clear, written communication for strategy, plans, roadmaps, and decisions, for a wide range of audiences including individual contributor engineers, volunteer contributors, and department leadership

Additionally, we’d love it if you have:

Experience with open source, open data, or open knowledge communities
Experience building products for multiple languages and geographies.
Experience with the integration of machine learning or artificial intelligence into web products.
Experience editing Wikipedia or with the Wikipedia, Wikidata, or Wikimedia Commons communities or other collaborative enterprises
Open source software development experience
Familiarity with MediaWiki

About the Wikimedia Foundation

The Wikimedia Foundation is the nonprofit organization that operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge freely. We host Wikipedia and the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive.

The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive donations from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.

As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.

The Wikimedia Foundation is a remote-first organization with staff members including contractors based 40+ countries*. Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated annual pay range of this position for applicants based within the United States is US$127,910 to US$200,021 with multiple individualized factors, including cost of living in the location, being the determinants of the offered pay. For applicants located outside of the US, the pay range will be adjusted to the country of hire. We neither ask for nor take into consideration the salary history of applicants. The compensation for a successful applicant will be based on their skills, experience and location.

*Please note that we are currently able to hire in the following countries: Australia, Austria, Bangladesh, Belgium, Brazil, Canada, Colombia, Costa Rica, Croatia, Czech Republic, Denmark, Egypt, Estonia, Finland, France, Germany, Ghana, Greece, India, Indonesia, Ireland, Israel, Italy, Kenya, Mexico, Netherlands, Nigeria, Peru, Poland, Singapore, South Africa, Spain, Sweden, Switzerland, Uganda, United Kingdom, United States of America and Uruguay. Our non-US employees are hired through a local third party Employer of Record (EOR).

We periodically review this list to streamline to ensure alignment with our hiring requirements.

All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.

If you are a qualified applicant requiring assistance or an accommodation to complete any step of the application process due to a disability, you may contact us at recruiting@wikimedia.org or +1 (415) 839-6885.

More information

U.S. Benefits & Perks

Applicant Privacy Policy

Wikimedia Foundation

What does the Wikimedia Foundation do?

What makes Wikipedia different from social media platforms?

Our Projects

Our Tech Stack

News from across the Wikimedia movement

Wikimedia Blog

Wikimedia 2030

","hiringOrganization":{"@type":"Organization","name":"Wikimedia Foundation","sameAs":"https://wikimediafoundation.org/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"Group Product Manager, Data Platform Engineering","datePosted":"2025-07-18","description":"

GROUP PRODUCT MANAGER, DATA PLATFORM ENGINEERING

Summary

This position will report to the Senior Director of Product, Core Experiences.

Candidates must be available for critical meetings and synchronous work between 15:00 UTC and 18:00 UTC, and open to traveling internationally up to four times per year.

This role is accountable for:

Ensuring the accuracy, usefulness, reliability, and accessibility of our data products
Defining and setting priorities and roadmaps for Data Platform Engineering teams across four domains: data engineering, search, experimentation, and site reliability
Product lifecycle management of the products, services, and tools of the Data Platform Engineering teams
Co-developing product strategy, providing leadership, and making and facilitating sound decisions
Managing and developing a team of product managers
Partnering with user-facing product teams to use the data platform to guide product decisions and build derived-data products

Expected skills and experience include:

Minimum of 5 years of product management experience with data or infrastructure products
Experience hiring and managing product managers
Success delivering data and analytical products and services depended on by multiple product teams
Expertise in data analytics, A/B testing, search, and data architecture
Strong understanding of modern techniques for handling high-scale data
Knowledge of search technologies
Experience navigating privacy issues around data collection, retention, and distribution
Ability to work with multiple stakeholder teams to deliver results through lateral influence and collaboration

Qualities that are important to us:

Commitment to the mission and values of the Wikimedia Foundation
Effective at asynchronous communication in a distributed workplace
Able to navigate and make decisions in circumstances with limited, incomplete, and conflicting information
Focus on iterative delivery and minimum viability to provide value to customer teams
Effective at clear, written communication for strategy, plans, roadmaps, and decisions, for a wide range of audiences including individual contributor engineers, volunteer contributors, and department leadership

Additionally, we’d love it if you have:

Experience with open source, open data, or open knowledge communities
Experience building products for multiple languages and geographies.
Experience with the integration of machine learning or artificial intelligence into web products.
Experience editing Wikipedia or with the Wikipedia, Wikidata, or Wikimedia Commons communities or other collaborative enterprises
Open source software development experience
Familiarity with MediaWiki

About the Wikimedia Foundation

We periodically review this list to streamline to ensure alignment with our hiring requirements.

All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.

More information

U.S. Benefits & Perks

Applicant Privacy Policy

Wikimedia Foundation

What does the Wikimedia Foundation do?

What makes Wikipedia different from social media platforms?

Our Projects

Our Tech Stack

News from across the Wikimedia movement

Wikimedia Blog

Wikimedia 2030

","hiringOrganization":{"@type":"Organization","name":"Wikimedia Foundation","sameAs":"https://wikimediafoundation.org/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"Group Product Manager, Data Platform Engineering","datePosted":"2025-07-18","description":"

GROUP PRODUCT MANAGER, DATA PLATFORM ENGINEERING

Summary

This position will report to the Senior Director of Product, Core Experiences.

Candidates must be available for critical meetings and synchronous work between 15:00 UTC and 18:00 UTC, and open to traveling internationally up to four times per year.

This role is accountable for:

Ensuring the accuracy, usefulness, reliability, and accessibility of our data products
Defining and setting priorities and roadmaps for Data Platform Engineering teams across four domains: data engineering, search, experimentation, and site reliability
Product lifecycle management of the products, services, and tools of the Data Platform Engineering teams
Co-developing product strategy, providing leadership, and making and facilitating sound decisions
Managing and developing a team of product managers
Partnering with user-facing product teams to use the data platform to guide product decisions and build derived-data products

Expected skills and experience include:

Minimum of 5 years of product management experience with data or infrastructure products
Experience hiring and managing product managers
Success delivering data and analytical products and services depended on by multiple product teams
Expertise in data analytics, A/B testing, search, and data architecture
Strong understanding of modern techniques for handling high-scale data
Knowledge of search technologies
Experience navigating privacy issues around data collection, retention, and distribution
Ability to work with multiple stakeholder teams to deliver results through lateral influence and collaboration

Qualities that are important to us:

Commitment to the mission and values of the Wikimedia Foundation
Effective at asynchronous communication in a distributed workplace
Able to navigate and make decisions in circumstances with limited, incomplete, and conflicting information
Focus on iterative delivery and minimum viability to provide value to customer teams
Effective at clear, written communication for strategy, plans, roadmaps, and decisions, for a wide range of audiences including individual contributor engineers, volunteer contributors, and department leadership

Additionally, we’d love it if you have:

Experience with open source, open data, or open knowledge communities
Experience building products for multiple languages and geographies.
Experience with the integration of machine learning or artificial intelligence into web products.
Experience editing Wikipedia or with the Wikipedia, Wikidata, or Wikimedia Commons communities or other collaborative enterprises
Open source software development experience
Familiarity with MediaWiki

About the Wikimedia Foundation

We periodically review this list to streamline to ensure alignment with our hiring requirements.

All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.

More information

U.S. Benefits & Perks

Applicant Privacy Policy

Wikimedia Foundation

What does the Wikimedia Foundation do?

What makes Wikipedia different from social media platforms?

Our Projects

Our Tech Stack

News from across the Wikimedia movement

Wikimedia Blog

Wikimedia 2030

","hiringOrganization":{"@type":"Organization","name":"Wikimedia Foundation","sameAs":"https://wikimediafoundation.org/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}}}},{"@type":"ListItem","position":14,"item":{"@type":"JobPosting","title":"Principal Product Manager, Data Platform & Sharing","datePosted":"2025-08-11","description":"

Ready to be a Titan?

ServiceTitan is seeking a Principal Product Manager to lead the design, delivery, and evolution of our next-generation Data Sharing Platform—a core component of our Data Platform that enables secure, scalable, and governed data exchange with external customers. This is a highly technical, execution-driven role where you’ll turn architectural vision into shipped capabilities, own end-to-end delivery, and ensure the platform meets enterprise-grade performance, security, and usability standards.

You’ll partner closely with engineering, data architecture, and security teams to make technical trade-offs, instrument for reliability and observability, and drive adoption through robust APIs, metadata-rich schemas, and always-on operations.

What you'll do:

Platform Architecture & Delivery

Own the full product lifecycle for the Data Sharing Platform—from concept to production—ensuring every release meets technical, security, and operational benchmarks.
Define system design, data models, and API specifications with architects and engineers, balancing scalability, latency, cost, and maintainability.
Translate architecture into prioritized, actionable backlogs; deliver in iterative, high-quality releases.
Establish SLAs, performance benchmarks, and operational runbooks.

Technical Execution & Quality

Validate features against functional, performance, and security requirements prior to release.
Partner with engineering on incident root cause analysis and prioritize fixes, optimizations, and technical debt reduction.
Implement instrumentation, monitoring, and alerting to proactively detect performance or data quality issues.

Data Product Enablement

Define schemas, access controls, and sharing mechanisms that support compliant, consistent data delivery across business units.
Onboard internal data products to the platform, ensuring governance and performance standards are met.
Partner with API consumers to validate usability, performance, and integration patterns.

Customer & Stakeholder Engagement

Engage with external customers and internal product teams to capture requirements and translate them into platform features.
Ensure all capabilities meet regulatory, security, and contractual requirements in collaboration with security, compliance, and legal teams.
Deliver high-quality API documentation, integration guides, and developer resources for adoption.

Operational Excellence

Continuously improve platform scalability, performance, and automation.
Monitor production usage and analytics to guide roadmap priorities.
Stay ahead of emerging data sharing and platform technologies to keep the solution best-in-class.

What you'll bring:

8+ years in a technical product development role, such as data platform product manager, software engineer, data architect, or development manager, with experience in agile delivery, large-scale system design and ownership, data modeling, API design, problem solving, and analytics-driven decision making.
Strong technical expertise in data warehousing (e.g., Snowflake), data sharing technologies, distributed systems, and API design.
Hands-on experience with data modeling, schema versioning, and data governance in enterprise environments.
Deep understanding of cloud-native architectures, security controls, and observability practices.
Proven track record of delivering platform capabilities that are performant, reliable, and secure.
Ability to work directly with engineering to review designs, assess trade-offs, and resolve technical blockers.
Experience with instrumentation, monitoring, and incident response for data products/platforms.
Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.
Thrives in a fast-paced, high-intensity environment with significant ambiguity, demonstrating adaptability, resilience, and a bias toward action.

Be Human With Us:

Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us.

What We Offer:
When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:

Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career. We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. Great work is rewarded through Bonusly, peer-nominated awards, and more.
Holistic health and wellness benefits: Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents), FSA and HSA, 401k match, and telehealth options including memberships to One Medical.
Support for Titans at all stages of life: Parental leave and support, up to $20k in fertility services (i.e. IUI and IVF), surrogacy, and adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, pet insurance, legal advisory services, financial planning tools, and more.

At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We strongly encourage people from underrepresented groups to apply. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.

ServiceTitan is committed to fair and equitable compensation for all of our employees. We thoughtfully consider a wide range of factors when determining individual compensation.The expected salary range for this role for candidates residing in the United States is between $166,500 USD - $222,700 USD. Compensation for candidates residing outside the United States will vary by location and the specific salary range will be discussed during the hiring process. Actual compensation for an individual may vary depending on skills, performance over time, qualifications, experience, and location. In addition to the base salary, the total compensation package also includes an annual bonus, equity and a holistic suite of benefits.","hiringOrganization":{"@type":"Organization","name":"ServiceTitan","sameAs":"https://www.servicetitan.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"US CA Remote, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":15,"item":{"@type":"JobPosting","title":"Product Manager - Data Platform and Analytics","datePosted":"2025-08-07","description":"

SpyCloud is on a mission to make the internet a safer place by disrupting the criminal underground. SpyCloud’s solutions thwart cyberattacks and protect more than 4 billion accounts worldwide. Cybersecurity is an exciting, evolving space, and being at the forefront of the fight to disrupt cybercrime makes SpyCloud a special place to work. If you’re driven to align your career with a fantastic mission, look no further!

SpyCloud is seeking a Product Manager to lead the development and delivery of our Data Platform & Analytics—the shared data and analytics capabilities that power every SpyCloud product. You will partner closely with Product Management, Engineering, Data Science, and Security Research to translate customer and market insights into robust, scalable services and APIs. Your work will enable downstream product teams to innovate rapidly, build compelling new features, and drive profitable growth.

You will partner deeply with fellow Product Managers, Engineering, Data Science, and Security Research to turn market and customer insights into scalable, platform‑level capabilities. You’ll weave analytics and data services into both new and existing products, unlocking actionable intelligence that fuels feature innovation. From discovery through launch, you’ll guide cross‑functional teams to ensure downstream product owners can confidently build on a self‑service data foundation.

You excel at making high‑impact decisions with imperfect information, leading without formal authority, and thriving amid chaos and complexity. Balancing deep technical fluency in data architectures and ML/AI workflows, you’ll translate SpyCloud’s vision into actionable plans that fuel growth, delight customers, and empower every product team. As an AI‑forward company, SpyCloud expects you to leverage AI to gather, organize, prioritize, and define requirements—assessing opportunities and continuously feeding our expanding suite of product offerings.

What You'll Do:

Help define, evangelize, and continuously refine a multi‑year strategy for SpyCloud’s data and analytics capabilities, ensuring alignment with both existing products and future growth opportunities.
Decompose high‑level platform initiatives into clear epics and user stories; participate in agile planning, stand‑ups, and sprint reviews; coordinate Engineering, Data Science, Design, and Security Research to deliver on time and to spec.
Establish, monitor, and report on key metrics—such as data delivery latency, alert precision/recall, SLA compliance, and platform adoption—and leverage those insights to adjust priorities, optimize performance, and validate feature ROI.
Work closely with other Product Managers to translate platform capabilities into differentiated customer features; provide self‑service APIs, documentation, and support that empower teams to build rapidly and autonomously.
Partner with Product Marketing, Sales Engineering, Customer Success, and Legal/Privacy to craft go‑to‑market positioning, support key accounts, and embed best practices around compliance, security, and data governance.
Oversee the retirement of legacy data pipelines and storage systems, plan prototypes and migrations to next‑generation architectures, and champion continuous improvement to reduce cost‑to‑serve and technical risk.
Evaluate third‑party data sources, ML frameworks, and integration partners; lead technical and commercial diligence to accelerate delivery while maintaining quality, security, and profitability.

Requirements:

4+ years of experience in product management or software/data engineering, including 2+ years in a product management role owning data‑centric or platform products
Domain expertise in cybersecurity, identity protection, threat intelligence, or fraud detection
Proven track record delivering scalable data and analytics services (APIs, pipelines, microservices) that downstream teams consume to build customer‑facing features
Deep understanding of modern data and cloud architectures (streaming, batch, lakehouse/warehouse) and ML/AI workflows (feature engineering, model deployment, monitoring)
Strong proficiency in quantitative analysis—defining and tracking KPIs (latency, precision/recall, SLAs, adoption) and leveraging insights to drive roadmap decisions
Demonstrated ability to lead cross‑functional teams—partnering with engineers, data scientists, researchers, and business stakeholders without formal authority
Excellent written and verbal communication skills, with confidence briefing executives, guiding design reviews, and evangelizing platform capabilities internally and externally
Power user of AI‑based tools (including LLMs) to gather, organize, prioritize, and validate requirements
Experience in agile/lean environments, breaking complex initiatives into epics and user stories and driving end‑to‑end delivery
Comfortable with collaboration tools such as Slack, Confluence, JIRA, and Salesforce

Nice to Have:

Prior exposure to IAM, SIEM, or SOAR products or integrations
MBA or advanced business/technical degree

SpyCloud is not sponsoring visas at this time.

U.S.-Based Benefits + Perks (for Full Time Employees):

At SpyCloud, we are committed to working alongside individuals who are equally passionate about preventing cybercrime, regardless of their department or role. Guided by our core values in all business decisions, we prioritize unity in our mission and ensure all SpyCloud employees have the support and benefits they need to stay focused on our goals. In addition to our engaging workspace in South Austin, flexible and remote-friendly work options, and competitive salary package, we offer our employees a comprehensive benefits package that includes:

401(k) with Employer Contribution
Health, Vision, and Dental Insurance\n
- Health Savings Account (HSA) available with Employer Contribution
\n
Employer Paid Life, Short-term, and Long-term Disability Insurance
Generous PTO Plan and 16 paid holidays per year

U.K.-Based Benefits + Perks (for Full Time Employees):

Retirement Savings Plan with Employer Contribution
Employer Provided Private Health Insurance and Healthcare Cashplan
Employer Paid Life Insurance and Income Replacement
Generous Holiday Plan and 14 paid holidays per year

About SpyCloud:

SpyCloud is on a mission to disrupt the cycle of cybercrime. As the leader in Cybercrime Analytics, our solutions thwart cyberattacks that originate from the use of stolen data, including account takeover, ransomware, and online fraud. More than 550 customers and partners trust SpyCloud to protect users' identities, prevent targeted attacks, and unmask adversaries attempting to harm businesses and their customers.

To learn more and see insights on your company’s exposed data, visit SpyCloud.

Our Mission:

Our mission is to make the internet a safer place by disrupting the criminal underground. Together with our customers and partners, we aim to end criminals’ ability to profit from stolen information.

Who We Are:

SpyCloud is a place for innovative, collaborative, and problem-solvers to thrive. Individually, we’re amazing, but together, we’re unstoppable. We celebrate diversity and various perspectives and aim to create an inclusive and supportive environment for all. We are proud to be an Equal Employment Opportunity and Affirmative Action employer of choice. All aspects of employment decisions will be based on merit, performance, and business needs. We do not discriminate on the basis of any status protected under federal, state, or local law. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Women, minorities, individuals with disabilities, and protected veterans are encouraged to apply. SpyCloud complies with applicable state and local laws governing nondiscrimination in employment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

SpyCloud expressly prohibits any form of workplace harassment. Improper interference with the ability of SpyCloud's employees to perform their job duties may result in discipline up to and including discharge. SpyCloud shares the right to work and participates in the E-Verify program in all locations.

If you need assistance or accommodation due to a disability, you may contact us.

Our Culture:

Our culture is something really special. We’re all driven to disrupt the cybercriminal economy as we keep customer accounts safe from compromise. We support a truly worthy and serious mission, but we have fun doing it together. If you are driven, inventive, and collaborative, you’ll fit right in.

SpyCloud’s Recruitment Policy:

We will never ask an applicant for sensitive or personal financial information during the recruitment process. We advise all applicants seeking employment with SpyCloud to review available information on recruitment fraud. Anyone who suspects that they have been contacted by someone falsely representing SpyCloud should email careers@spycloud.com.

Compensation Transparency Policy:

At SpyCloud, we believe in transparency and fairness in compensation. We strive to ensure that all employees are fairly compensated for their contributions, and we openly discuss our compensation philosophy and structure. We are committed to providing competitive salaries and benefits packages to attract and retain top talent, and we encourage open dialogue and feedback regarding compensation matters.

Learn more and apply: SpyCloud Careers

","hiringOrganization":{"@type":"Organization","name":"SpyCloud","sameAs":"https://spycloud.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin, Texas","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":16,"item":{"@type":"JobPosting","title":"Senior Technical Product Manager | Data Platform","datePosted":"2025-08-23","description":"

Meet DeepL

DeepL is a global communications platform powered by Language AI. Since 2017, we’ve been on a mission to break down language barriers. Our human-sounding translations and intelligent writing suggestions are designed with enterprise security in mind. Today, they enable over 100,000 businesses to transform communications, reach new markets, and improve productivity. And, empower millions of individuals worldwide to make sense of the world and express their ideas.

Our goal is to become the global leader in Language AI, building products that drive better communication, foster connections, and make a real-life impact. To achieve this, we need talented individuals like you to join our exciting journey. If you're ready to work with a dynamic team and build your career in the fast-moving AI space, DeepL is your next destination.

What sets us apart

What sets us apart is our blend of modern technology, competitive benefits, and an open, welcoming work culture that enables our people to thrive. When we share what it's like to work at DeepL, the reactions are overwhelmingly positive. This may be because of our products that have helped countless people worldwide or our shared mission to improve communication for individuals and businesses, bringing cultures closer together. What we know for sure is this: being part of DeepL means joining a team dedicated to innovation and employee well-being. Discover what our teams have to say about life at DeepL on LinkedIn, Instagram and our Blog.

Meet the team behind this journey

DeepL’s Data Platform team provides centralised data ingestion, data warehousing and reporting & analytics capabilities to data teams across the business, fostering autonomy to help all Deeople to make data-informed decisions easily.

We are looking for a Senior Technical Product Manager to join our Data Platform team.

Within this team you have a chance to support and impact the data experience of all the employees at DeepL in our mission to break down language barriers. You will own the data experience by defining and delivering a roadmap that will support everyone globally at DeepL in delivering a product with more than 100 million users.

Your responsibilities

Define the mission, strategy and roadmap for DeepL’s data platform
Cooperate with data professionals and data users around the business to maximise the value offered by the data platform and improve the data experience
Lead a collaborative team process to translate user and business needs into development requirements
Break down initiatives and projects into tasks and support the team to deliver them
Own the product lifecycle from discovery to launch and drive measurable business impact
Define metrics and KPIs to measure and report progress
Ensure the maximum return on investment for your team’s efforts
Communicate strategy, ideas and concepts clearly, aimed at the right audience, with the help of insight and data
Identify opportunities for new features / products that leverage the global scale of our user base and data

Qualities we look for

2+ years of experience owning data platform products
Technical fluency: you can engage deeply with data engineers on architecture, pipelines, and warehouse technologies, but know when to step back and focus on outcomes.
Strong communicator: You tailor your message to different audiences—executives, engineers, analysts—using data to tell a clear story.
Strategic thinker: You balance long-term platform vision with short-term delivery needs.
Collaborative leader: You build trust and alignment across functions, driving decisions in a complex stakeholder landscape.
Customer-centric mindset: You advocate for data users and make their experience a priority.
Bias to action: You’re comfortable operating with ambiguity, making decisions, and iterating quickly.
Growth mindset: You seek feedback, continuously learn, and help raise the bar for the team.

What we offer

Diverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities. We're more than just colleagues; we're a group of professionals with a shared mission to connect diverse cultures. Our global presence is growing–we've doubled in size nearly every year, with our employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan, and we continue to expand our network.
Open communication, regular feedback: as a language-focused company, we value the importance of clear, honest communication. We value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and growth mindset makes us better together.
Hybrid work, flexible hours: we offer a hybrid work schedule, with team members coming into the office twice a week. This allows you to engage directly with your team and experience the unique energy of our workspace, while still enjoying the flexibility and comfort of working from home. With flexible working hours and trust in your productivity, we are in sync with your team’s general locations and time zones to foster effective and seamless collaboration.
Regular in-person team events: we bond over vibrant events that are as unique as our team, from local team and business unit gatherings, to new-joiner onboardings, to company-wide events that bring us all together–literally.
Monthly full-day hacking sessions: every month, we have Hack Fridays, where you can spend your time diving into a project you're passionate about and get the opportunity to work with other teams–we value your initiatives, impact, and creativity.
30 days of annual leave: we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you're as strong mentally as you are professionally.
Competitive benefits: just as our team spans the globe, so does our benefits package. We've crafted it to reflect the diversity of our team and tailored it to align with your unique location, to ensure you feel supported every step of the way.

If this role and our mission resonate with you, but you're hesitant because you don't check all the boxes, don't let that hold you back. At DeepL, it's all about the value you bring and the growth we can foster together. Go ahead, apply—let's discover your potential together. We can't wait to meet you!

We are an equal opportunity employer

You are welcome at DeepL for who you are—we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It’s in our diversity that we will find the power to break down language barriers in the world.

","hiringOrganization":{"@type":"Organization","name":"DeepL","sameAs":"https://www.deepl.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Berlin","addressCountry":"Germany","addressRegion":"Europe"}}}},{"@type":"ListItem","position":17,"item":{"@type":"JobPosting","title":"Principal Product Manager, User Data Platform","datePosted":"2025-08-27","description":"Yahoo serves as a trusted guide for hundreds of millions of people globally, helping them achieve their goals online through our portfolio of iconic products. For advertisers, Yahoo Advertising offers omnichannel solutions and powerful data to engage with our brands and deliver results.

A Little About Us

Yahoo's Membership Platforms team provides Identity, Payments, and Privacy capabilities to all the Yahoo verticals. As a result, verticals can leverage these advanced capabilities that they could not buy or build in a cost effective manner on their own. Within that remit, the team also provides User Data Platform (UDP) services to the rest of the organization.

Yahoo’s UDP team owns several mission-critical products and services:

UDB (User DataBase) is a world-wide distributed, high-performance, massively scalable, multi-master, eventually-consistent database holding user account information accessed via a RESTful interface and leveraging the next-generation Aerospike key-value store
CP (Canonical Profile) is a RESTful service layered on top of the UDB that maps raw key-value pairs to carefully-schematized, well-documented attributes
MP (Member Profile) is the next-generation offering, expanding CP’s storage and delivery of “declared” user data to the realm on “inferred” data for those same users

A Lot About You

We're looking for an impressive individual who is passionate about all aspects of product management, is highly organized, and communicates well with internal and external stakeholders. At Yahoo, PMs create a team culture that conceives, designs, and ships excellent products. You do this by modeling ownership and accountability, superb team leadership skills, humility, and curiosity. As a PM, you understand, inspire, and focus your team(s) using excellent listening skills, influence abilities, and crisp, effective communication. You complement these skills with technical knowledge that informs your judgment regarding timelines, scope, quality, priorities, and trade-offs. Ultimately, you are the expert on how products are designed, used, measured, improved, and generate business value. You support this expertise with a keen ability to break down large, complex problems into well-defined, manageable issues and an ability to use data to inform your judgment.

About the Role

We are seeking a Principal Product Manager to lead the vision, strategy, and execution for our User Data Platform (UDP). The UDP provides feature teams across the company with trusted, compliant, and real-time user data, enabling seamless user experiences, personalization, targeting, and measurement.

As Principal PM, you will be responsible for setting the long-term vision for our user data foundation, defining the roadmap, and driving adoption of the platform across the organization. You will partner closely with Engineering, Data, Privacy, Security, and Product leaders to ensure that the platform not only scales technically but also aligns with business goals, regulatory requirements, and user trust. This role requires someone who can operate strategically at the company level, while also being hands-on in execution, roadmap ownership, and day-to-day product delivery.

Responsibilities

Vision & Strategy: Define and evangelize the long-term strategy for the User Data Platform, ensuring it enables scalable, real-time, and privacy-forward user data capabilities across the company.
Roadmap Ownership: Own and prioritize the UDP roadmap with inputs from feature teams, engineering, privacy/legal, and business stakeholders. Balance near-term feature delivery with long-term architectural investments.
Stakeholder Engagement: Act as the primary product partner for PMs and Engineers from feature teams, ensuring their needs for identity, profile, and personalization data are met.
Platform Adoption: Drive adoption of the platform across the company by building compelling platform capabilities, creating clear documentation, and engaging with customer teams.
Cross-Functional Leadership: Partner with engineering, data infrastructure, privacy/legal, and security teams to deliver solutions that meet both product needs and compliance requirements.
Technical & Market Expertise: Maintain a strong understanding of modern data stack architectures (event streaming, APIs, data lakes/warehouses, identity resolution, feature stores) and the competitive landscape in identity and personalization platforms.
Execution: Write clear product requirements, define success metrics, and oversee delivery of platform features from concept to rollout.
Evangelism: Influence executives and stakeholders across the company to align behind the UDP vision and strategy.

Qualifications

8+ years of product management experience, with at least 3+ years focused on data platforms, identity, personalization, or related infrastructure.
Demonstrated ability to set platform-level strategy and successfully drive cross-organizational adoption.
Strong technical fluency: able to understand and discuss concepts such as event collection, data pipelines, APIs, data warehouses/lakes, feature stores, and real-time personalization.
Proven success working with engineering, data, privacy, and security partners to build compliant, scalable systems.
Experience in consumer internet or ad tech environments strongly preferred; adjacent industries with real-time user data challenges also welcome.
Exceptional stakeholder management and communication skills, with a track record of influencing executives and peers.
Hands-on mindset with the ability to move from strategy to detailed execution seamlessly.

Nice to Have

Experience leading identity or profile platforms at scale (e.g., cross-vertical or multi-brand businesses).
Familiarity with data privacy regulations (GDPR, CCPA, etc.) and their impact on user data platforms.
Background in personalization, recommendations, or advertising technology.
Familiarity with ML and AI techniques that drive product features.
SQL and data analysis skills.

The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies; exercising sound judgment; working effectively, safely and inclusively with others; exhibiting trustworthiness and meeting expectations; and safeguarding business operations and brand integrity.

At Yahoo, we offer flexible hybrid work options that our employees love! While most roles don’t require regular office attendance, you may occasionally be asked to attend in-person events or team sessions. You’ll always get notice to make arrangements. Your recruiter will let you know if a specific job requires regular attendance at a Yahoo office or facility. If you have any questions about how this applies to the role, just ask the recruiter!

Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo will consider for employment qualified applicants with criminal histories in a manner consistent with applicable law. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form (www.yahooinc.com/careers/contact-us.html) or call +1.866.772.3182. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.

We believe that a diverse and inclusive workplace strengthens Yahoo and deepens our relationships. When you support everyone to be their best selves, they spark discovery, innovation and creativity. Among other efforts, our 11 employee resource groups (ERGs) enhance a culture of belonging with programs, events and fellowship that help educate, support and create a workplace where all feel welcome.

The compensation for this position ranges from $136,125.00 - $283,750.00/yr and will vary depending on factors such as your location, skills and experience.The compensation package may also include incentive compensation opportunities in the form of discretionary annual bonus or commissions. Our comprehensive benefits include healthcare, a great 401k, backup childcare, education stipends and much (much) more.

Currently work for Yahoo? Please apply on our internal career site.

","hiringOrganization":{"@type":"Organization","name":"Yahoo","sameAs":"https://www.yahooinc.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"US - United States of America","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":18,"item":{"@type":"JobPosting","title":"Senior Product Manager - Data Platform and Analytics","datePosted":"2025-08-15","description":"Pie's mission is to empower small businesses to thrive by making commercial insurance affordable and as easy as pie. We leverage technology to transform how small businesses buy and experience commercial insurance.\n\n \nLike our small business customers, we are a diverse team of builders, dreamers, and entrepreneurs who are driven by core values and operating principles that guide every decision we make.\n

The Senior Product Manager is a skilled product practitioner with demonstrated ability to drive significant business impact while developing sophisticated strategic capabilities. They operate with high autonomy in complex business domains while maintaining appropriate engagement with leadership on strategic direction. They identify and execute on high-value opportunities, build effective cross-functional partnerships, and deliver measurable outcomes that advance Pie's strategic goals.

You will report to the Director of Product for Data and Post-Bind Journeys (financial systems, premium audit, and claims) and work closely with Data Engineering leadership, Data Science teams, and cross-functional partners to identify opportunities, prioritize initiatives, and drive end-to-end execution from conception to impact measurement. You'll manage backlogs across analytics and platform domains, diving into detail mode from an understanding perspective.

Mission For This Role

The Senior Product Manager for Data Platform & Analytics will drive critical initiatives that enhance Pie's data infrastructure and analytics capabilities, focusing on improving data quality and platform capabilities, accelerating analytics delivery, and expanding data self-service capabilities across the organization. This role will contribute to making data and analytics a competitive advantage for Pie through reliable infrastructure and accessible insights.

How you’ll do it

Data Platform:

The Data Platform team builds the infrastructure that moves data from operational systems to our analytical environment This role requires deep technical understanding to make informed product decisions while working closely with Data Engineering teams who own technical implementation.. You'll provide product oversight and prioritization for ETL pipeline improvements using tools like Snowflake and Airflow, prioritizing reliability, observability, and efficiency. You'll manage the transition from legacy data sources to system-generated data, reducing manual intervention and increasing automation.Your technical fluency will enable you to make informed product decisions while partnering with engineering teams who own implementation and defining product requirements that enable scalable analytics.

Analytics Enablement:

You'll focus on creating and prioritizing self-service analytics capabilities that empower teams across Pie to make data-driven decisions independently. This includes developing data marts, improving data discoverability, and building tools that enable business users to access and analyze data efficiently. You'll work closely with business stakeholders to understand their analytical needs and translate them into scalable data products that reduce dependency on manual reporting and ad-hoc analysis.

Key Outcomes For First 12 Months:

Strategic Roadmap Development: Develop a comprehensive data platform and analytics roadmap for your domain that balances technical excellence with tangible business impact, clearly connecting improved data capabilities to Pie's competitive advantage in the mid/high risk workers comp and commercial auto segments.
Product Operating Model Integration: Successfully integrate your data platform domain within Pie's Product Operating Model, adapting ceremonies and workflows to accommodate the unique characteristics of data products while maintaining agile principles.
Cross-functional Partnership Building: Build strong, collaborative relationships with technology and business leaders across Pie, establishing yourself as a trusted product partner on data platform strategy and analytics implementation through both technical expertise and business acumen.
Data Reliability Improvement: Partner with engineering to identify and prioritize improvements that will allow for more durable data contracts between operational systems and data pipelines.
Manual Process Reduction: Develop and execute a strategy for progressively reducing reliance on manual/spreadsheet-based data sources and reporting, with clear priorities based on business impact and technical feasibility.
Measurement Framework Implementation: Create and implement a measurement framework for data quality, pipeline reliability, and analytics performance that enables data-driven decision making across your domain.
Self-Service Analytics Enhancement: Enhance data infrastructure to enable self-service analytics capabilities, focusing on data marts and tools that reduce dependency on manual reporting and empower business users to access insights independently.
Governance Collaboration: Collaborate on data governance strategy including working with compliance and security teams to ensure data meets regulatory and industry standards while enabling efficient analytics access.

The Right Stuff

8+ years overall professional experience working on complex business and/or technology problems.
6+ years Product Management experience working in an agile software development lifecycle (SDLC) environment.
Advanced SQL proficiency and data fluency are required, with hands-on experience writing queries for analysis and data validation.
Demonstrated experience working with data platforms, analytics, or business intelligence products — ideally across both infrastructure and applied analytics domains.
Familiarity with modern data stack tools such as Snowflake, Airflow, dbt, Fivetran, Monte Carlo, Looker, or Tableau.
Strong understanding of the data lifecycle to include data modeling, data quality, analytics enablement, and self-service capabilities — with a track record of driving adoption and alignment across teams in the context of product management.
Ability to translate complex technical work into clear business impact, supporting your recommendations with data and strategic rationale.
Strong communication skills with the ability to influence stakeholders and align cross-functional priorities while maintaining appropriate engagement with leadership on strategic direction.
Growth mindset and resilience — you seek feedback, own outcomes, and collaborate effectively through ambiguity with curiosity and accountability.
Experience managing complex product deliveries end-to-end with ability to coordinate across engineering and design functions.
Track record of implementing measurement approaches to track business outcomes and iterating toward target impacts.
Sound judgment about when to operate in detail mode vs. remaining at a higher level of abstraction, with ability to take ownership while effectively managing scope evolution.

The use of AI in Application Review: To support a fair, efficient, and consistent hiring process, we use AI-powered tools to assist in the initial screening of applications. These tools help us identify qualifications and prior work experiences that align with the requirements of the role. All AI-reviewed applications are still subject to human oversight and decision-making at multiple stages of the process. By submitting your application, you acknowledge and consent to Pie utilizing these AI technologies to assist in our evaluation process.

Base Compensation Range$145,000—$180,000 USD

Compensation & Benefits

Competitive cash compensation
A piece of the pie (in the form of equity)
Comprehensive health plans
Generous PTO
Future focused 401k match
Generous parental and caregiver leave
Our core values are more than just a poster on the wall; they’re tangibly reflected in our work

Our goal is to make all aspects of working with us as easy as pie. That includes our offer process. When we’ve identified a talented individual who we’d like to be a Pie-oneer , we work hard to present an equitable and fair offer. We look at the candidate’s knowledge, skills, and experience, along with their compensation expectations and align that with our company equity processes to determine our offer ranges.

Each year Pie reviews company performance and may grant discretionary bonuses to eligible team members.

Location Information

Unless otherwise specified, this role is remote. Remote team members must live and work in the United States (territories excluded) and have access to reliable, high-speed internet.

Additional Information

Pie Insurance is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, military service status, citizenship, or other protected characteristic.

Pie Insurance participates in the E-Verify program. Please click here, here and here for more information.

Pie Insurance is committed to protecting your personal data. Please review our Privacy Policy.

Safety First: Pie Insurance is committed to your security during the recruitment process. We will never ask you for credit card information or ask you to purchase any equipment during our interview or onboarding process.

Pie Named to 2025 America's Best Startup Employers

Pie's Ford Pro Insure Coverage expanded to Pennsylvania and Texas

Pie Insurance 2025 State of Workplace Safety Report

\n\n#LI-REMOTE\n#BI-REMOTE","hiringOrganization":{"@type":"Organization","name":"Pie Insurance","sameAs":"https://pieinsurance.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":19,"item":{"@type":"JobPosting","title":"Associate Data Platform Engineer - Cyber Data Platform","datePosted":"2025-08-21","description":"Tesco UK • Welwyn Garden City • Full-Time • Apply by 28-Nov-2025\n\n\n\n\n\n\n About the role\n \n\nAs an Associate Data Platform Engineer in the Cyber Data Platform team, you will contribute to the development and maintenance of a robust data platform that enables users to develop advanced analytics and solutions to strengthen our security defences. You will collaborate closely with cross functional data teams to ensure the platform is scalable, secure, and aligned with cybersecurity goals.\n\n\n\n\n What is in it for you\n \n\nWe’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you – both in and out of work. Click Here to find out more!

Annual bonus scheme of up to 10% of base salary
Holiday starting at 25 days plus a personal day (plus Bank holidays)
26 weeks maternity and adoption leave (after 1 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 4 weeks fully paid paternity leave
Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing

\n\n\n\n\n You will be responsible for\n \n\n

Data Architecture: Support the implementation of real time, near real time and batch data architectures that support threat detection, incident response and reporting through advanced analytics, machine learning and GenAI capabilities.

Data Integration and Transformation: Implement the automated frameworks for integrating the data from various security sources into the security data lake. Also, the data transformation frameworks to move data between the raw, trusted, and curated data layers.

Coding and Documentations: Contribute to raising the quality bar of the team's codebase by producing high-quality code and documentation of data platform architecture, process and best practices.

Automation and DevOps: Implement various automations and DevOps practices to streamline the deployment, configuration, and management of data platform components.

Collaboration and Communication: Collaborate and communicate effectively with members of the team and actively participate in resolving issues related to data platform operations, providing support as needed.

\n\n\n\n\n You will need\n \n\n

Proficiency in SQL and programming languages like Python

Familiarity with ETL and ELT frameworks and orchestration tools like Airflow and DBT Experience

Exposure to cloud platforms e.g. Azure / Databricks or similar technologies

An understanding of data lakes and data warehouses concepts and distributed systems like Event Hub/ Kafka, Spark etc.,

Familiarity of Terraform and CI/CD (GitHub Actions, Jenkins etc.)

A desire to learn about cybersecurity principles and practices

Strong and proactive communication skills, both written and verbal to effectively engage with team and individuals involved in the project.

Strong problem-solving skills

Experience with collaborative development methods such as mob or pair programming is a plus.
\n\n\n\n\n About us\n \n\nOur vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We’re a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.","hiringOrganization":{"@type":"Organization","name":"Tesco","sameAs":"https://www.tesco.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Welwyn Garden City, United Kingdom of Great Britain and Northern Ireland","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":20,"item":{"@type":"JobPosting","title":"Data Platform Architect","datePosted":"2025-07-21","description":"

Stora Enso is a leading provider of renewable products in packaging, biomaterials and wooden construction, and one of the largest private forest owners in the world. We believe that everything that is made from fossil-based materials today can be made from a tree tomorrow. We employ approximately 19,000 people.

Are you ready to shape the backbone of our data-driven future? As a Data Architect at Stora Enso, you’ll play a pivotal role in designing and building the robust, scalable data foundations that power our AI ambitions and fuel every business decision.
Join us to turn complex data challenges into groundbreaking solutions—be the architect behind the intelligence that drives our success.

Career for a better climate. Every day.  

We are now looking for a Data Architect who will lead the design and development of our solutions and help us make smarter decisions to deliver even better products.

In this role, you'll get to work with modern data technologies like Azure, Snowflake, Databricks and dbt. There are plenty of chances to grow your skills, whether it's through conferences, training programs, or certifications.

Your primary focus will be on the design of our data solutions as well as consulting various divisional stakeholders to build data models using data from various systems in Stora Enso.

You will help with the evolution of Stora Enso’s data strategy towards the Data Mesh and Lakehouse concept. You will also be responsible for organizing data community to spread best practice of data modelling and overall data literacy between Stora Enso’s users.

You will work in Ostrava (Czech Republic) in a hybrid mode, combining working from the office and from home. You will report to the Head of Data Availability.

Key responsibilities:

Lead the design, development, and implementation of robust data architectures and solutions that support analytics, reporting, and AI/ML initiatives
Collaborate with business and technical stakeholders to understand requirements, identify opportunities for data-driven value, and provide expert data modeling consultation
Prepare, review, and continually optimize data models (conceptual, logical, and physical) to ensure scalability, performance, and alignment with business needs
Work closely with other architects (data, solution, enterprise, cloud) to design and deliver integrated, end-to-end data solutions
Set and enforce data quality, governance, and security standards to ensure solutions are reliable, compliant, and trustworthy
Mentor, guide, and provide consultation to data engineers, analysts, and junior team members, fostering knowledge sharing and skills development
Create, maintain, and promote architectural documentation, best practices, guidelines, and training materials to drive consistency and excellence across the organization
Champion data-driven and AI-enabled transformation, advocating for innovative solutions and influencing organizational adoption of data best practices
Continuously assess and adopt emerging data technologies and methodologies to keep our data platforms future-ready and competitive

Skills and experience we expect you to have:

Extensive practical experience in data modeling (conceptual, logical, and physical)
Deep understanding of data management concepts(data governance, data quality, metadata management, MDM)
Proven ability to capture business requirements and translate them into effective, scalable data solutions
Expertise in designing and optimizing data architectures for analytics, reporting, and AI/ML applications with sustainable practices at the core
Hands-on experience with modern data platforms and technologies (e.g., cloud data warehouses, data lakes, ETL/ELT tools)
Excellent documentation skills for technical solutions, with a focus on clear, accessible and sustainable data models
Strong communication and stakeholder management skills in English, with the ability to bridge technical and business teams
Consulting mindset and change management skills, able to champion best practices and drive adoption across the organization
Ability to coach, train, and mentor both technical and non-technical team members, fostering a data-driven culture
Strategic thinker with a focus on delivering measurable business value and enabling AI/data-driven initiatives
Adaptability and a continuous learning mindset to stay ahead in a rapidly evolving data and AI landscape

What we offer

By joining us, you will be part of our diverse working culture supporting you to explore new perspectives and develop professionally. You will contribute towards a more sustainable world, as we believe that anything made from fossil-based materials today can be made from a tree tomorrow. To keep you going safely, we support your physical and mental wellbeing.

Role specific opportunities/things that we offer:

modern office in Ostrava - we apply hybrid model
5 weeks of vacation per year
lunch cards 160 CZK
commuting allowance
cafeteria
pension insurance
annual bonus

How can you apply for this role?

You can only submit your application to us by using our recruitment tool. As we are assessing our candidates on an ongoing basis, we hope to hear from you as soon as possible but at the latest by 17.08.2025.

Please kindly note that due to summer vacation we might reply to you with a small delay. Thank you.

Depending on the role, we might invite you to a video interview and/or aptitude tests. Also, our recruitment process could include pre-employment actions such as background, reference, and health checks as well as a drug test.

If you have any questions, please do not hesitate to contact TA partner Lucie Staňková, lucie.stankova@storaenso.com.  
  

","hiringOrganization":{"@type":"Organization","name":"Stora Enso","sameAs":"https://www.storaenso.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Ostrava, Czechia","addressCountry":"Czechia","addressRegion":"Europe"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"Data Platform Architect","datePosted":"2025-07-21","description":"

The Data Platform Architect is responsible for designing and implementing scalable data architecture solutions that meet business needs. This role exists to ensure the efficient processing, storage, and retrieval of data across various platforms, enabling data-driven decision-making within the organization.

You will work together with other highly dedicated and skilled colleagues focused on the mission of ensuring stable, efficient, and compliant IT services. Simplicity and agility are important in everything we do. The data platform architect will also assist the data platform system management team build scalable platforms suitable for the business requirements. The scope of this role includes managing data architecture projects, overseeing data governance, and ensuring compliance with industry standards and company policies.

Company Overview

The work we do at FUJIFILM Biotechnologies has never been more important—and we are looking for talented candidates to join us. We are growing our locations, our capabilities, and our teams, and looking for passionate, mission-driven people like you who want to make a real difference in people’s lives.

Join FUJIFILM Biotechnologies and help make the next vaccine, cure, or gene therapy in partnership with some of the most innovative biopharma companies across the globe. We are proud to cultivate a culture that will fuel your passion, energy, and drive - what we call Genki.

Fujifilm is globally headquartered in Tokyo with over 70,000 employees across four key business segments of healthcare, electronics, business innovation, and imaging. We are guided and united by our Group Purpose of “giving our world more smiles.” Visit: https://www.fujifilm.com/us/en/about/region/careers

Key Accountabilities

Job Description

Designs and Develops data architecture frameworks to support business objectives.
Collaborates with cross-functional teams to integrate data solutions.
Evaluates and Selects data technologies and tools for optimal performance.
Oversees data governance policies to ensure compliance and security.
Provides technical guidance and mentorship to junior team members.

Qualifications & Experience

High School Diploma or Equivalent with 8 years of applicable industry experience OR
Bachelor’s degree with 5 years of applicable industry experience OR
Master’s degree 3 years of applicable industry experience OR
PhD with 2 years of applicable industry experience

Key Skills

Technical skills and experience working with SQL server, Snowflake, data visualization tools and ETL systems
Excellent oral and written communications skills and fluency in English
Collaborative attitude with the willingness to work with global peers and cross-functional teams toward company and department goals
Ability to prioritize and work autonomously based on common goals and objectives.
Strong analytical mind, eye for detail and problem-solving skills. A natural drive for simplification.
Quality minded.
High sense of responsibility.
Willingness to learn new things
Effective communication and collaboration skills
Strong problem-solving abilities
Knowledge of data governance and security standards
Ability to present technical concepts to non-technical stakeholders

Impact & Decision Making

Works on significant and unique issues where analysis of situations or data requires an evaluation of intangibles.
Requires conceptual thinking to understand advanced issues and implications. Exercises independent judgment in methods, techniques and evaluation criteria for obtaining results.
Accountable for results, which may impact the entire function.
Creates formal networks involving coordination among groups.
Focuses on providing thought leadership and works on broader organization projects, which requires understanding of wider business.
Requires conveying advanced information and persuading several diverse stakeholders/audiences.
Recognized internally as a subject matter expert. May direct the activities of others.

Please notice that this is a global role, and by applying you accept that your cover letter and CV can be shared with employees in USA for recruitment purposes.

To all agencies: Please, no phone calls or emails to any employee of FUJIFILM about this requisition. All resumes submitted by search firms/employment agencies to any employee at FUJIFILM via-email, the internet or in any form and/or method will be deemed the sole property of FUJIFILM, unless such search firms/employment agencies were engaged by FUJIFILM for this requisition and a valid agreement with FUJIFILM is in place. In the event a candidate who was submitted outside of the FUJIFILM agency engagement process is hired, no fee or payment of any kind will be paid.

","hiringOrganization":{"@type":"Organization","name":"FUJIFILM Diosynth Biotechnologies","sameAs":"https://fujifilmdiosynth.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"FDBD Hillerod, Denmark","addressCountry":"Denmark","addressRegion":"Europe"}}}},{"@type":"ListItem","position":22,"item":{"@type":"JobPosting","title":"Data Platform Engineer","datePosted":"2025-08-08","description":"

Data Platform Engineer
Elland with flexible working
Competitive Salary & Benefits

Marshalls plc is the UK’s leading hard landscaping, building and roofing products supplier and has supplied some of the most prestigious landmarks in the UK since the 1890s. We’re the benchmark for excellence and have been recognised as a Superbrand since 2010. As well as exceptional customer service, technical innovation, and manufacturing expertise, we continue to be a leader in our field in corporate responsibility and sustainable business practice.

We are looking for an experienced Data Platform Engineer to join our Data & Insights team to support the design, development, and maintenance of robust, secure, and reliable data pipelines that serve key enterprise systems including ERP, CRM, and analytics platforms.

You will join our Digital Transformation Team and play a critical role in our transition toward a modern, unified analytics platform (Microsoft Fabric), ensuring high-quality data is available to power decision-making across the business.

What’s the Mission?

The Data Platform Engineer, will work closely with the Data Architect and collaborate across IT, BI, and operational teams to support a resilient, scalable, and governed data platform.
Build and maintain automated, secure data pipelines from sources such as Dynamics AX/D365, CRM, and third-party platforms.
Manage the capacity, scalability, and configuration of the data platform, including SQL Server, SQL MI, Synapse, Data Lake, and Microsoft Fabric, in collaboration with infrastructure and security teams.
Support the migration to Microsoft Fabric, ensuring modern, efficient data architecture.
Ensure data quality, consistency, and lineage tracking across ingestion and integration layers using governance tools like Purview.
Document data flows, pipeline dependencies, and technical configurations to support transparency and maintainability.
Monitor and administer both on-prem and cloud systems, implementing robust alerting and performance tracking with Azure Monitor and Log Analytics.
Collaborate with BI teams to ensure clean, reliable data delivery to analytics models.
Support platform lifecycle tasks (e.g., patching, upgrades, access control) and contribute to DevOps and knowledge sharing.

Mission Critical Skills

Proven experience as a Data Engineer, Data Platform Engineer or similar technical role in enterprise environments, with advanced SQL development skills, Python/ PySpark, and demonstrated experience with modern ETL/ELT frameworks
Hands-on expertise with cloud-native data platforms (preferably Microsoft Fabric, Synapse, Data Factory, and related services
Experience integrating data from ERP/CRM systems (e.g., Dynamics 365), and operational data sources.
Familiarity with data governance tools like Purview, and understanding of data security and compliance (e.g., GDPR, ISO 27001).
Knowledge of DevOps, including CI/CD, Git, and Infrastructure as Code (e.g., ARM, Terraform, Bicep).
Strong problem-solving, diagnostic, and collaboration skills, with the ability to work across cross-functional teams.
Relevant degree or equivalent experience; Microsoft certifications (e.g., DP-700, DP-203, DP-900) are highly desirable.

Benefits

34 days per annum or the equivalent in hours (inclusive of bank holidays)
Health care cash plan – support with Dental, Optical, Prescription costs and many more!
Enhanced Maternity, Paternity, and Adoption pay and leave
5% employer matched pension scheme
Cycle to work scheme
Employee discount on Marshalls and Marley products
Retailer discounts
Marshalls Wellbeing Centre
Share purchase scheme
Life assurance

Equal Opportunities
Whoever you are and whatever your background, you’ll find a fair and supportive workplace. You’re unique and we want you to bring every part of who you are to work, every day. We’re committed to ensuring equal opportunities for everyone. To us, this is more than a legal, moral, or ethical necessity – it’s the right thing to do! We want our team to reflect the diverse nature of society and the communities we serve. Marshalls is a workplace where you’re valued for the contribution you make, and where you can grow and develop by being entirely yourself!

Closing Date: 12noon 21st August 2025

#LI-remote

INDHP

","hiringOrganization":{"@type":"Organization","name":"Marshalls PLC","sameAs":"https://www.marshalls.co.uk/careers/latest-vacancies"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Elland, England, United Kingdom","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Data Platform Engineer","datePosted":"2025-08-11","description":"

Werk waar je trots op kan zijn. Dit ga je doen.

Een toekomstbestendig energiesysteem vraagt om slimme inzet van data. Als Data Platform Engineer bij Stedin draag je bij aan een robuust en schaalbaar dataplatform waarmee we de energietransitie versnellen. Jij zorgt dat onze collega’s – van data scientists tot analisten – veilig, snel en zelfstandig met data kunnen werken.

Samen bouwen aan een toekomstbestendig en gebruiksvriendelijk dataplatform. Zo krijg je nieuwe energie.

Hoe jouw dag als Data Platform Engineer eruit ziet bij Stedin?

Hoe jouw dag als Data Platform Engineer eruit ziet bij Stedin?
Na een heerlijke kop koffie (of thee) die je in gebarentaal bestelt bij onze ‘gebarista’, start je jouw dag met de daily stand-up van je team. Je bespreekt de voortgang en prioriteiten, waarna je aan de slag gaat met het ontwikkelen van een selfservice learning module voor gebruikers van onze data-tools.

Je begeleidt gebruikers actief bij het werken met ons platform en ontwikkelt learning blocks, zodat ze zelfstandig aan de slag kunnen.
Je werkt aan de vernieuwing van het platform met technologieën als Azure, Databricks, Airflow en Kubernetes – en denkt actief mee over architectuur en gebruiksvriendelijkheid.

Na een lunch op de 18e verdieping – of een wandeling door de stad – help je het Data Science-team bij het optimaliseren van hun model voor netcongestie. Je geeft niet alleen een oplossing, maar zorgt ook voor overdraagbare kennis.

Je vertaalt inzichten naar technische verbeteringen en werkt samen met Product Owners en Solution Architecten aan nieuwe features.
Je verbetert onze CI/CD-deployments met tools als Terraform en Azure DevOps.

Op het eind van je werkdag sta je in een paar stappen op station Blaak. Zo ben je lekker snel weer thuis.

Jouw sterke punten. Worden wij blij van.

Je krijgt energie van samenwerken én van techniek. Je weet technische concepten helder uit te leggen aan anderen, denkt vooruit en deelt je kennis graag.

Wat jou echt onze nieuwe Data Platform Engineer maakt?

Je hebt ervaring met (Azure) cloudomgevingen zoals Databricks, Kubernetes, Datalake, Airflow en EventHub.
Je beheerst Python, Spark en SQL en hebt basiskennis van netwerken.
Je bent communicatief sterk en draagt kennis makkelijk over aan collega’s.
Je hebt ervaring met infra-as-code en CI/CD (bij voorkeur met Terraform en Azure DevOps).
Je bent in het bezit van, of bereid om certificeringen te halen zoals AZ-104, AZ-305, DP-203 of AZ-400.

Goed om te weten: Bij Stedin hebben we genoeg te doen. Daarom is deze rol beschikbaar vanaf 32 uur per week. Liever 36 of 40 uur werken? Ook prima!

Een goed team. Daar hoor je bij.

Vanaf dag één maak je deel uit van het Dataplatform Enablement Team, onderdeel van de Dataplatform release train. Samen zorgen jullie voor bredere inzet van het dataplatform door de organisatie heen. Wat dit team typeert? Veel ruimte voor vernieuwing, onderlinge kennisdeling en de ambitie om data toegankelijk te maken voor iedereen.

“We bouwen samen aan een platform waar je als engineer zélf enthousiast van wordt. Dat motiveert iedere dag weer.”

Mooie arbeidsvoorwaarden. Die wil je hebben.

Dat je van ons een laptop en telefoon (of BYOD-vergoeding) krijgt, vinden we logisch. Wat kun je nog meer verwachten?

Alle financiële arbeidsvoorwaarden op een rij, weet je meteen waar je aan toe bent:

Goede arbeidsvoorwaarden horen erbij. Zo krijg je, afhankelijk van kennis en ervaring, maximaal een salaris van €6984,90 gebaseerd op 40 uur per week, 24,5 vakantiedagen en bouw je prima pensioen op bij het ABP.
Bovenop je salaris ontvang je een persoonlijk budget van 24% (inclusief 8% vakantiegeld). Jij kiest wat je met het budget doet. Elke maand extra salaris? Of meer verlofdagen? In onze nieuwe Rekentool krijg je een alvast een voorproefje van hoe jouw persoonlijk budget eruit zou kunnen zien en hoe je het zou kunnen besteden.
Gezonde energie, die heb je nodig. Daarom krijg je van ons ook een Duurzaam Inzetbaarheid budget van €500 bruto per jaar (bijvoorbeeld voor je sportabonnement of je nieuwe voetbalshirt). En claim jij alvast een plek in het volgende Stedin Voetbaltoernooi?

Daar komt dit nog bovenop:

Je werkt volgens ons Stedin@Work concept: 50% thuis en 50% op kantoor. Wij regelen jouw thuiswerkfaciliteiten én een thuiswerkvergoeding.
Reizen naar kantoor doe je met de OV vrij regeling. Dat is een OV-kaart die je ook in je vrije tijd kan gebruiken. Of met de Flexibele reisregeling, waarbij je zelf kiest, combineert en varieert hoe je naar je werk reist en een extra vergoeding krijgt als je met de fiets komt.
Werken bij Stedin? Dat is werken bij een World-class Workplace, al vier jaar achter elkaar. Een van de trotspunten van onze (en jouw toekomstige) collega’s!
Jouw ontwikkeling staat centraal: events bezoeken met collega’s, meedoen aan kennissessies, trainingen en opleidingen volgen. Zo geven we jouw talent écht alle kans en haal jij het beste uit jezelf.

Alle voordelen en arbeidsvoorwaarden van werken bij Stedin op een rij? Die vind je via onderstaande knop.

Nu reageren. En laten zien wat je in huis hebt.

Zin in deze baan? Solliciteer direct via de knop. Je mag natuurlijk een motivatiebrief meesturen, maar het hoeft niet. We kijken ernaar uit je te ontmoeten! We kijken ernaar uit je te ontmoeten!

Wie je ook bent, wat je ook doet, bij ons ben je welkom. Want als je jezelf bent, werkt het net wat beter.

Dankzij een assessment en een (pre) employment screeningkunnen wij jou (en jij jezelf) nog beter leren kennen. Daarom maken deze onderdeel uit van de selectieprocedure.

Het vinden van een wederzijdse match, daar krijgen we nieuwe energie van! Daarom zijn onze vacatures geen oproep voor acquisitie, we werven onze nieuwe collega’s graag zelf.

","hiringOrganization":{"@type":"Organization","name":"Stedin","sameAs":"https://www.stedin.net/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Rotterdam, Blaak 8 (Kantoor functie), Netherlands","addressCountry":"The Netherlands","addressRegion":"Europe"}}}},{"@type":"ListItem","position":24,"item":{"@type":"JobPosting","title":"Data Platform Architect","datePosted":"2025-08-14","description":"

Company Description

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.

Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.

Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.

Job Description

We are seeking a hands-on Data Platform Architect to lead the design, implementation, and modernization of our enterprise-wide data platform—including data governance, lakehouse architecture, engineering pipelines, analytics, and AI-driven solutions. This role requires deep technical expertise, strategic vision, and executional leadership to build a scalable, governed, and intelligent data ecosystem across cloud and on-prem environments.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Architecture & Strategy

Define and continuously evolve the target data architecture across the stack—governance, engineering, modeling, lakehouse, AI/ML.
Translate business and technical goals into scalable and resilient platform designs.
Own and maintain architectural roadmaps, standards, and decision frameworks.
Act as the bridge between architects, Business SME/Analysts, data engineers, and analytics teams to ensure alignment and compliance with platform standards.

Data Engineering & Platform Delivery

Design and implement modern ELT/ETL pipelines using tools like Spark, Python, SQL, Scala, and cloud-native components (e.g., Fivetran, Databricks, Snowflake, BigQuery).
Build and maintain Lakehouse platforms using Delta Lake, Iceberg, or equivalent technologies.
Manage data ingestion from heterogeneous sources including ERP, CRM, IoT, and third-party APIs.
Guide hands-on development of robust, reusable, and automated data flows.

Governance, Metadata, and Quality

Implement and enforce data governance frameworks including data lineage, metadata management, and access controls.
Partner with Data Stewards and Governance Analysts to catalog data domains, define entities, and ensure SOX compliance.
Drive adoption of tools like and Atlan/Unity Catalog for metadata, quality, and stewardship.
Develop data models (ERDs, dimensional and 3NF) and define canonical data representations.

AI & Agentic Enablement

Lead the integration of AI/ML solutions and agentic architectures into the data platform to automate insights, recommendations, and decision flows.
Collaborate with AI/ML teams to embed vectorization, tokenization, and semantic enrichment into the data stack.
Prototype innovative GenAI applications for operational and business intelligence.

Collaboration & Leadership

Review solution designs and provide architectural guidance to engineering teams.
Mentor technical staff while fostering best practices and continuous improvement.
Collaborate with DevOps to embed CI/CD, version control, and environment automation across the data lifecycle.
Continuously assess and improve platform reliability, scalability, performance, and cost-efficiency.

Qualifications

REQUIRED:

12+ years of hands-on experience in data architecture, engineering, and analytics delivery.
Proven success in building modern data platforms on cloud (AWS, Azure, GCP).
Deep knowledge of data lakehouse architectures (e.g., Databricks, Fabric).
Proficiency with Python, SQL, Spark, and orchestration frameworks.
Experience with ETL/ELT tools (e.g., Informatica, Talend, Fivetran) and containerization (Docker, Kubernetes).
Strong background in data modeling (ERD, star/snowflake, canonical models).
Familiarity with REST APIs, GraphQL, and event-driven design.
Demonstrated experience integrating AI/ML and GenAI components into data platforms.

PREFERRED:

15+ years of experience including solution architecture roles for large-scale data initiatives.
Experience with BI/visualization tools like Power BI, Tableau, and Looker.
Understanding of Master Data Management, data profiling, cleansing, and enrichment techniques.
Exposure to DataOps and DevOps practices for CI/CD and platform automation.
Strong analytical and problem-solving skills with the ability to communicate clearly to both technical and business audiences.
Knowledge of high-tech business domains such as engineering, sales, finance, supply chain, or semiconductor operations is a strong plus.
Knowledge of SAP and SAP-BDC a plus

Additional Information

Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the \"Know Your Rights: Workplace Discrimination is Illegal” poster. Our pay transparency policy is available here.

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@sandisk.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Based on our experience, we anticipate that the application deadline will be 11/14/2025 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline.

Compensation & Benefits Details

An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs.
The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future.
You will be eligible to participate in Sandisk's Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance. Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Sandisk's Standard Terms and Conditions for Restricted Stock Unit Awards.
We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program, employee stock purchase plan, and the Sandisk's Savings 401(k) Plan.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

","hiringOrganization":{"@type":"Organization","name":"Sandisk","sameAs":"https://www.sandisk.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Milpitas, CA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"Data Platform Architect","datePosted":"2025-08-19","description":"

Giorgi Global Holdings, Inc. (“GGH”) is a privately held, diversified consumer products/packaging company with approximately 11,000 employees and operations in 20 countries. GGH consists of four US based companies (The Giorgi Companies) and one global packaging company (CANPACK).

GGH has embarked on a transformation journey to become a digital, technology enabled, customer-centric, data and insights-driven organization. This transformation is evolving our business, strategy, core operations and IT solutions. As critical driver of this transformation, GGH’s IT organization is:

Implementing a new cloud-based applications architecture and transforming ERP platforms to SAP S4 and aligning with SAP’s Go-to-Market strategies/latest offerings. Our Greenfield SAP S4 journey is currently in progress.
Transforming business processes to be best in class in the industry by leveraging technologies like process mining capabilities
Implementing integration strategy to be future ready with latest technology platforms
Transforming and automating IT delivery model and processes by scaling up the agile and nimble ways of working to deliver IT projects, enhancements, and application support scope of works
Implementing people and digital workplace services strategy that puts the employee at the heart of technology and collaboration tools.
Establishing an integrated and seamless information ecosystem within a secure and technically compliant, enterprise IT environment
Transforming data management capability connected to new analytics platforms
Transforming business processes to be best in class in the industry by leveraging technologies like process mining capabilities
Implementing integration strategy to be future ready with latest technology platforms
Transforming and automating IT delivery model and processes by scaling up the agile and nimble ways of working to deliver IT projects, enhancements, and application support scope of works
Implementing people and digital workplace services strategy that puts the employee at the heart of technology and collaboration tools.
Establishing an integrated and seamless information ecosystem within a secure and technically compliant, enterprise IT environment
Transforming data management capability connected to new analytics platforms

Job Objective

Responsible for architecting, implementing, and managing the organizational BI infrastructure (data warehouse and models, design pattern, reporting systems, etc.) to drive operational efficiency and bring technology innovation.

Job responsibilities

Work on the architecture and development of the BI offerings like data models, reports, workspaces, etc. to shape the future of GGH’S products & services by staying at the forefront of recent developments in BI
Establish, document, and maintain standards for the BI components like data models, reports, workspace patterns and infrastructure
Interact with internal stakeholders/solution architects to gauge the capability of the BI infrastructure against immediate and future needs
Collaborate with architects, development/support teams ensuring the proposed ideas are feasible and the solutions developed adhere to standards
Stay up to date to evaluate latest developments in technology and tools to bring innovation, for example, to develop, test, and prototype new design patterns, etc.
Work collaboratively across multi-disciplinary teams throughout the company as a SME for BI platform technologies
Balance short-term versus long-term actions and strategic versus tactical requirements, while continuing to move the company’s vision forward
Provide mentorship and technical guidance to BI developers on the team to support their learning and development
Performing other duties entrusted by the supervisor, resulting from the tasks realized by the Company.

Core Competencies, Knowledge, Experience

Experience managing a team is preferred
Power BI, Microsoft Fabric, Git-hub/Azure Devops, MS SQL, Azure Synapse Analytics; Exposure to other BI tools preferred
Understanding and experience working with SAP data and modules
5-10 years required

Work Timing & Location

Office – Pune (Pimple Saudagar) India
Hybrid office presence policy – 3 days at office + 2 days WFH
Typical Working Hours – 12:30PM and 9:30 PM IST
Operational on call availability subject to incidents/priorities
Travel – subject to key projects, usually less than 2 weeks

Must Have Educational / Professional Qualifications

Master's degree in computer science, Engineering/Mathematics/ Statistics/, Information Systems

If you are a current CANPACK employee, please apply through your Workday account.

CANPACK Group is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by law or not related to job requirements, unless such distinction is required by law.

","hiringOrganization":{"@type":"Organization","name":"CANPACK Group","sameAs":"https://www.canpack.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"IND - Pune, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Data Platform Engineer","datePosted":"2025-08-19","description":"

Description

Personetics is shaping the Cognitive Banking era, harnessing AI to help banks anticipate customer needs, provide actionable insights, and deliver intelligent financial guidance. Our platform continuously analyzes and leverages real-time transactional data, enabling banks to proactively support customers in managing their finances and reaching their goals.

As industry leaders — yes, we really are leaders — we partner with the world’s top financial institutions, empowering over 150 million customers monthly across 35 global markets from offices in New York, London, Singapore, São Paulo, and Tel Aviv.

About the position

We are looking for an experienced and visionary Data Platform Engineer to help design, build and scale our BI platform from the ground up.

In this role, you will be responsible for building the foundations of our data analytics platform – enabling scalable data pipelines and robust data modeling to support real-time and batch analytics, ML models and business insights that serve both business intelligence and product needs.

You will be part of the R&D team, collaborating closely with engineers, analysts, and product managers to deliver a modern data architecture that supports internal dashboards and future-facing operational analytics.

If you enjoy architecting from scratch, turning raw data into powerful insights, and owning the full data lifecycle – this role is for you!

Responsibilities

· Take full ownership of the design and implementation of a scalable and efficient BI data infrastructure, ensuring high performance, reliability and security.

· Lead the design and architecture of the data platform – from integration to transformation, modeling, storage, and access.

· Build and maintain ETL/ELT pipelines, batch and real-time, to support analytics, reporting, and product integrations.

· Establish and enforce best practices for data quality, lineage, observability, and governance to ensure accuracy and consistency.

· Integrate modern tools and frameworks such as Airflow, dbt, Databricks, Power BI, and streaming platforms.

· Collaborate cross-functionally with product, engineering, and analytics teams to translate business needs into data infrastructure.

· Promote a data-driven culture – be an advocate for data-driven decision-making across the company by empowering stakeholders with reliable and self-service data access.

Requirements

· 5+ years of hands-on experience in data engineering and in building data products for analytics and business intelligence.

· Proven track record of designing and implementing large-scale data platforms or ETL architectures from the ground up.

· Strong hands-on experience with ETL tools and data Warehouse/Lakehouse products (Airflow, Airbyte, dbt, Databricks)

· Experience supporting both batch pipelines and real-time streaming architectures (e.g., Kafka, Spark Streaming).

· Proficiency in Python, SQL, and cloud data engineering environments (AWS, Azure, or GCP).

· Familiarity with data visualization tools like Power BI, Looker, or similar.

· BSc in Computer Science or a related field from a leading university

Nice to have

· Experience working in early-stage projects, building data systems from scratch.

· Background in building operational analytics pipelines, in which analytical data feeds real-time product business logic.

· Hands-on experience with ML model training pipelines.

· Experience in cost optimization in modern cloud environments.

· Knowledge of data governance principles, compliance, and security best practices.

","hiringOrganization":{"@type":"Organization","name":"Personetics","sameAs":"https://www.personetics.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Giv'atayim, Tel Aviv District, IL","addressCountry":"Israel","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":27,"item":{"@type":"JobPosting","title":"Data Platform Engineer","datePosted":"2025-08-18","description":"At Octopus we've developed a data platform that is used by all our businesses around the world. The platform empowers users with self-service data analytics and automates our data processing workflows, from simple ETL jobs to ML training and prediction.
The data platform team works on anything from natural language understanding of our customer communications to processing billions of smart meter readings every day to support in creating customised and market leading smart energy tariffs.
We're looking for an Engineer to join the team to help us build and maintain our platform, pipelines and reporting tools.
We're passionate about building great technology to change the way customers use, and think about, energy for the good of the planet. This is a fantastic opportunity to work with us on data problems that genuinely move us closer to Net Zero and support the energy transition.
We employ software engineering best practices to design, test, and deploy our data platform and services.\n

What you'll do...

Build and optimise the platform used by the data team to transform raw data into business insights
Scope and deliver new data engineering projects in collaboration with business stakeholders
Develop and deploy AI tools to help build out our ever-growing AI requirements and use cases.
Research and implement new tooling where appropriate, whether its developed in-house or sourced externally
Maintain and expand our existing data infrastructure and tools.
Consult the wider business on Engineering best practices and stay up to date with trends within the profession
Support the internationalisation of our data infrastructure as we continue to grow globally.

What you'll have...

Primarily, we want our engineers to have a passion for writing high quality code and building lean processes.

Python
AWS
SQL (Spark/Postgres preferably)

Airflow
Experience using CLI tools
Docker/EKS
Spark
DBT
Circle CI

The projects will be varied and we’re looking for someone who can work autonomously and proactively to scope problems and solve and deliver pragmatic solutions

Our Tech Stack...

Python as our main programming language
Circle CI for continuous deployment
Databricks for our data lake platform
Parquet and Delta file formats on S3 for data lake storage
Terraform on Spacelift for our infrastructure definition and deployment
Kubernetes for data services and task orchestration
Airflow for job scheduling and tracking
Postgres / aurora for our relational databases
Spark for data processing
dbt for data modelling
SparkSQL for analytics
Streamlit for data applications

💚 Why else you'll love it here

💰 Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit!
🎉 Octopus Energy Group is a unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We won best company to work for in 2022, on Glassdoor we were voted 50 best places to work in 2022 and our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We’ve also been placed in the top 10 companies for senior leadership
🎁 Visit our UK perks hub - Octopus Employee Benefits

Our process usually takes up to 4 weeks, but we’ll always do our best to flex around what works for you. Along the way, you’ll chat with our recruitment team and your Recruiter will help you throughout different stages. Got any burning questions before then? Drop us a message at hiring@octoenergy.com and we’d love to help!
If this sounds like you then we'd love to hear from you. 🚀
Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. Need any specific accommodations? Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customise your interview process for comfort and maximum magic!
Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.","hiringOrganization":{"@type":"Organization","name":"Octopus Energy","sameAs":"https://octopus.energy/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London (GB)","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":28,"item":{"@type":"JobPosting","title":"Data platform intern","datePosted":"2025-08-22","description":"

Do you want to join a fast-moving company and work among convivial teams? Pernod Ricard is looking for its next Intern for Data Platform, starting in January 2026 for 6 months.

Context

As the Data Platform team, our mission is not to build business use cases ourselves—but to empower the teams who do. We act as enablers, providing the tools, infrastructure, and standards that allow data consumers across the organization to build, scale, and operate their own data products efficiently and securely.

To achieve this, we focus on delivering a “Triple S” data platform—Standardized, Scalable, and Secure. This means:

Standardized: We define and promote best practices, governance models, and reusable components to ensure consistency and interoperability across teams.
Scalable: We design and maintain a platform that can grow with the business, supporting increasing data volumes, users, and use cases without compromising performance.
Secure: We embed security and compliance at the core of our architecture, ensuring data is protected and access is well-managed.

Our platform underpins a wide range of data-driven activities at Pernod Ricard, including the 10,000+ Power BI reports used globally. These reports rely on a robust and performant Snowflake-based data infrastructure, along with a network of integrated systems and services that we continuously monitor, optimize, and evolve.

Ultimately, our goal is to provide reliable, future-proof data foundations that enable business teams to focus on what matters most: creating value from data.

Your key mission

Become a part of the Data Platform team, owning and delivering topics with autonomy but also collaboration
Contribute to the development and maintenance of the data platform, including data pipelines, data quality monitoring, and platform automation.
Support data ingestion and transformation workflows using modern data tools (e.g., dbt, snowflake, etc.).
Collaborate with data engineers and product teams to ensure data availability, reliability, and scalability across use cases.
Participate in the documentation, standardization and communication of data platform components, processes, and best practices.
Explore and prototype new tools or frameworks that could enhance the performance, observability, or usability of the platform.

If you recognize yourself in the description below, don’t wait to apply!

Currently enrolled in an engineering school or Master’s program with a specialization in Data, Computer Science, or related fields.
Strong foundation in data engineering concepts, including SQL, Python, and distributed data processing.
Familiarity with cloud platforms (e.g., Azure, AWS, or GCP) and modern data stack tools is a plus.
Analytical mindset and problem-solving skills, with a proactive and curious attitude.
Good communication and teamwork abilities, with a willingness to learn in a collaborative environment

Please note: to apply, you must be able to complete 6 months of internship and have an agreement issued by your school/university. 

Wait, there’s more…

We offer you an outstanding workplace in central Paris (best view in town!), attractive compensation and employee events. With us, you will create a solid, diversified, and friendly professional network!

Pernod Ricard values diversity and solidarity within its organization and in its relations with stakeholders. Our recruitment methods focus on skills, and we welcome all types of talents.

Job Posting End Date:

Target Hire Date:

2026-01-05

Target End Date:

2026-06-29","hiringOrganization":{"@type":"Organization","name":"Pernod Ricard","sameAs":"https://www.pernod-ricard.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"FR - Paris - The Island, France","addressCountry":"France","addressRegion":"Europe"}}}},{"@type":"ListItem","position":29,"item":{"@type":"JobPosting","title":"Data Platform Engineer","datePosted":"2025-08-18","description":"

ING Hubs Poland is hiring!

We are looking for you, if you:

have 5+ years of experience in a Platform Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field,
have experience with advanced Azure Dev/Ops pipelines,
have experience using one or more of the following software components:
- The Cloudera Eco System (HDFS, HIVE, NIFI)
- Management of the bigdata clusters using CM, Ranger, KNOX and HUE
- Produce and Consume streaming data (KAFKA)
- Experience with other storage layers (e.g. S3, CEPH)
know development languages such as Python, Ansible and Bash,
know how to build Cloud agnostic data capabilities,
have knowledge about public Cloud (GCP, Azure),
know monitoring tools like Grafana, Kibana, Prometheus and Elasticsearch.
have experience building and optimizing ‘big data’ data pipelines, architectures and data sets. In both batch and real-time data integration,
have knowledge of message queuing and stream processing,
have worked in a DevOps environment: CI/CD with Azure DevOps, Test automation, Docker
- Agile Scrum way of working.

You'll get extra points for:

excellent communication skills, both verbally and in writing, to be able to align with various stakeholders and cross border squads,
results oriented, determined and having a self-driven attitude.

Your responsibilities:

define and implement the infrastructure required for optimal loading of data from a wide variety of data sources using big data technologies,
operate and maintain a critical environment,
setup and tune the monitoring of the infrastructure including data pipelines,
identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc,
work with stakeholders including the Data and Design teams to assist with data-related technical issues and support their data infrastructure needs,
keep our data separated and secure across international boundaries through multiple data centers.

About the team:

Have you ever build the best Data Platform ever?

If your answer is “yes” then you are the Data Platform engineer we are looking for.

You can help us to build, expand and maintain this together with a team of experts. You know about batch and streaming ingestion and that security and data management in a data environment are must haves. You will work in a team where you learn from others and share your knowledge, have fun and make ING data driven.

Our ideal candidate is an experienced engineer managing large data environments based on the Cloudera Data Platform (Hadoop), Cloudera Flow Manager (CFM) and other storage layer technologies.

The Platform Engineer will actively support our software developers on data initiatives and will ensure optimal data delivery.

Experience in the Agile methodologies would be a perfect fit, able to slice and dice work/ideas in clear stories and tasks.

The role naming convention in the global ING job architecture will be “Engineer II”.

","hiringOrganization":{"@type":"Organization","name":"ING","sameAs":"https://www.ing.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Katowice (Zabrska 19), Poland","addressCountry":"Poland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":30,"item":{"@type":"JobPosting","title":"Data Platform Engineer","datePosted":"2025-08-18","description":"

ING Hubs Poland is hiring!

We are looking for you, if you:

have 5+ years of experience in a Platform Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field,
have experience with advanced Azure Dev/Ops pipelines,
have experience using one or more of the following software components:
- The Cloudera Eco System (HDFS, HIVE, NIFI)
- Management of the bigdata clusters using CM, Ranger, KNOX and HUE
- Produce and Consume streaming data (KAFKA)
- Experience with other storage layers (e.g. S3, CEPH)
know development languages such as Python, Ansible and Bash,
know how to build Cloud agnostic data capabilities,
have knowledge about public Cloud (GCP, Azure),
know monitoring tools like Grafana, Kibana, Prometheus and Elasticsearch.
have experience building and optimizing ‘big data’ data pipelines, architectures and data sets. In both batch and real-time data integration,
have knowledge of message queuing and stream processing,
have worked in a DevOps environment: CI/CD with Azure DevOps, Test automation, Docker
- Agile Scrum way of working.

You'll get extra points for:

excellent communication skills, both verbally and in writing, to be able to align with various stakeholders and cross border squads,
results oriented, determined and having a self-driven attitude.

Your responsibilities:

define and implement the infrastructure required for optimal loading of data from a wide variety of data sources using big data technologies,
operate and maintain a critical environment,
setup and tune the monitoring of the infrastructure including data pipelines,
identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc,
work with stakeholders including the Data and Design teams to assist with data-related technical issues and support their data infrastructure needs,
keep our data separated and secure across international boundaries through multiple data centers.

About the team:

Have you ever build the best Data Platform ever?

If your answer is “yes” then you are the Data Platform engineer we are looking for.

Experience in the Agile methodologies would be a perfect fit, able to slice and dice work/ideas in clear stories and tasks.

The role naming convention in the global ING job architecture will be “Engineer II”.

","hiringOrganization":{"@type":"Organization","name":"ING","sameAs":"https://www.ing.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Katowice (Zabrska 19), Poland","addressCountry":"Poland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":31,"item":{"@type":"JobPosting","title":"Data Platform Engineer","datePosted":"2025-08-21","description":"

About Upstart

Upstart is the leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. By leveraging Upstart's AI marketplace, Upstart-powered banks and credit unions can have higher approval rates and lower loss rates across races, ages, and genders, while simultaneously delivering the exceptional digital-first lending experience their customers demand. More than 80% of borrowers are approved instantly, with zero documentation to upload.

Upstart is a digital-first company, which means that most Upstarters live and work anywhere in the United States. However, we also have offices in San Mateo, California; Columbus, Ohio; and Austin, Texas.

Most Upstarters join us because they connect with our mission of enabling access to effortless credit based on true risk. If you are energized by the impact you can make at Upstart, we’d love to hear from you!

The Data Platform Engineering team (Part of Upstart's core platform vertical) provides developer tools, frameworks, and scalable data infrastructure as shared services across Upstart. The team's primary objective is to provide Data Analysts, Software Engineers, and ML scientists access to high-quality data and developer tools to create business metrics for respective product verticals.

You will join the subdivision focusing on Data Curation.

As the Data Platform Engineer joining this team, you will get the opportunity to contribute to following areas:

Build and maintain user-friendly, scalable tools that enable data teams and other stakeholders to perform data transformations without needing deep technical expertise.
Expand the self-serve ETL and orchestration framework that developers use to build pipelines
Manage, organize, and maintain the data catalog to ensure efficient data discovery, governance, access control, and metadata management across the organization.

We would love to hear from you if you are passionate about building data products!

How you’ll make an impact:

Build and Improve the tools owned by the Data Curation team
Participate in planning and prioritization by collaborating with stakeholders across the various product verticals and functions (ML, Analytics, Finance, Software engineering) to ensure our tools/frameworks help deliver overall business objectives.
Collaborate with stakeholders such as Software Engineering, Machine Learning, Machine Learning Platform and Analytics teams to onboard them to the Lakehouse and adopt the developer tools
Participate in code reviews and architecture discussions to exchange actionable feedback with peers.
Help break down complex projects and requirements into stories for sprints.
Continuously monitor and improve data platform performance, reliability, and security.
Stay up-to-date with emerging technologies and industry best practices in data engineering.
Develop and maintain technical documentation for the data platform, including design, architecture, and operational procedures. Promote best practices for data engineering within the organization.

What we’re looking for:

Minimum requirements:\n
- A bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
- 3+ years of experience in data platform development, data engineering or related fields
- Proficiency in data engineering tech stack; Databricks / PostgreSQL / Python / Spark / Kafka / SQL / AWS / Airflow/ DBT / containers and orchestration (Docker, Kubernetes) and others.
- Ability to approach problems with first principles thinking, embrace ambiguity, and enjoy collaborative work on complex solutions.
\n
Preferred qualifications:\n
- Strong foundation in algorithms and data structures and their real-world use cases.
- Strong analytical and troubleshooting skills, with the ability to analyze complex technical challenges and deliver effective solutions.
- Experience and understanding of distributed systems, data architecture design, and big data technologies (e.g., Spark, Kafka, Lakehouse, Databricks).
- Experience with AWS technologies ( e.g., AWS Lambda, Redshift, RDS, S3, etc.).
- Good knowledge of DevOps engineering using Continuous Integration/Delivery tools like Kubernetes, Jenkins, Terraform, etc., thinking about automation, alerting, monitoring, security, and other declarative infrastructure.
- Ability to explain complex concepts in easy-to-understand ways and navigate environments where problems are not well-defined (and evolve quickly).
\n

Position Location - This role is available in the following locations: Remote, San Mateo, Columbus

Travel Requirements - This team has periodic on-site collaboration sessions twice or thrice a year. Upstart will cover all travel-related expenses if you need to travel to make these meetups.

What you'll love:

Competitive Compensation (base + bonus & equity)
Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart
401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings
Employee Stock Purchase Plan (ESPP)
Life and disability insurance
Generous holiday, vacation, sick and safety leave
Supportive parental, family care, and military leave programs
Annual wellness, technology & ergonomic reimbursement programs
Social activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteering
Catered lunches + snacks & drinks when working in offices

#LI-REMOTE

#LI-Associate

At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).

United States | Remote - Anticipated Base Salary Range$142,000—$196,600 USD

Upstart is a proud Equal Opportunity Employer. We are dedicated to ensuring that underrepresented classes receive better access to affordable credit, and are just as committed to embracing diversity and inclusion in our hiring practices. We celebrate all cultures, backgrounds, perspectives, and experiences, and know that we can only become better together.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com

https://www.upstart.com/candidate_privacy_policy

","hiringOrganization":{"@type":"Organization","name":"Upstart","sameAs":"https://www.upstart.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States | Remote","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":32,"item":{"@type":"JobPosting","title":"Data Platform Admin","datePosted":"2025-08-21","description":"

Key Responsibilities

Administer and monitor Azure-based data services, including Azure Databricks, Azure Blob Storage, and Power BI.
Manage and support Databricks workspaces, clusters, and user access.
Implement and enforce security best practices across data platforms.
Monitor system performance and perform tuning and troubleshooting as needed.
Assist in setting up and maintaining CI/CD pipelines for data workflows.
Collaborate with cross-functional teams to ensure data platform reliability, scalability, and availability.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
1–2 years of experience in a Data Engineer, System Administrator, or similar role.
Strong proficiency in SQL, Python, PowerShell, and Bash scripting.
Familiarity with cloud data platforms such as Azure, AWS, GCP, and Databricks.
Solid understanding of data engineering concepts and cloud infrastructure.
Experience with Azure DevOps or other CI/CD tools.
Experience with Infrastructure as Code tools such as Terraform is a plus.

","hiringOrganization":{"@type":"Organization","name":"Makro PRO","sameAs":"https://www.siammakro.co.th/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangkok, Bangkok, Thailand","addressCountry":"Thailand","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":33,"item":{"@type":"JobPosting","title":"Software Engineer – Data Platform","datePosted":"2025-07-21","description":"

It's fun to work in a company where people truly BELIEVE in what they're doing!

‎

Job Description

Design, build, and maintain data platform systems for data ingestion (batch and streaming), data warehousing, and data retrieval.
Collaborate with team members (local and remote) to deliver high-quality solutions for our data platform.
Participate in code reviews and promote engineering best practices to improve code quality and system performance.
Help manage and operate Kubernetes clusters and cloud infrastructure for the data team.
Quickly prototype, implement, and iterate on solutions based on feedback from product managers and stakeholders.
Troubleshoot and debug production issues to ensure reliability and stability of the platform.
Ensure data quality, consistency, and adherence to data governance standards across all data workflows in the platform.
Assist with monitoring, logging, and alerting to support production systems.
Contribute to team knowledge by sharing learnings, past experience, and supporting mentorship within the team.
Foster a collaborative, inclusive, and growth-oriented team environment.

‎

Requirements

Bachelor’s degree in Computer Science, Engineering, or related discipline, or equivalent practical experience.
1-3 years of professional software engineering experience, preferably building backend, data, or distributed systems.
Strong proficiency in at least one programming language: Python, Java, Go, or similar (polyglot experience welcomed).
Good understanding of software engineering fundamentals, algorithms, and design patterns.
Practical experience in testing, code reviews, version control (Git), and implementing CI/CD pipelines.
Exposure to monitoring, logging, alerting, and debugging practices for production-grade systems.
Familiarity with data warehouse technologies and cloud data stores; ability to optimize complex queries.
Excellent communication and teamwork skills.
Experience working with container orchestration (Kubernetes) and Google Cloud Platform is a plus.

‎

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

","hiringOrganization":{"@type":"Organization","name":"Traveloka","sameAs":"https://www.traveloka.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Indonesia - Jakarta, Green Office Park 1","addressCountry":"Indonesia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":34,"item":{"@type":"JobPosting","title":"Engineering Manager, Data Platform","datePosted":"2025-07-22","description":"

TRM Labs is a blockchain intelligence company committed to fighting crime and creating a safer world. By leveraging blockchain data, threat intelligence, and advanced analytics, our products empower governments, financial institutions, and crypto businesses to combat illicit activity and global security threats. At TRM, you'll join a mission-driven, fast-paced team made up of experts in law enforcement, data science, engineering, and financial intelligence, tackling complex global challenges daily. Whether analyzing blockchain data, developing cutting-edge tools, or collaborating with global organizations, you'll have the opportunity to make a meaningful and lasting impact.

The Data Platform team collaborates with an experienced group of data scientists, engineers, and product managers to build highly available and scalable data infrastructure for TRM's products and services. As an Engineering Manager, you will be responsible for executing mission-critical systems and data services that analyze blockchain transaction activity at petabyte scale, and ultimately work to build a safer financial system for billions of people.

The impact you’ll have here:

Lead and develop a team of talented, high-impact engineers, providing cultural, technical, and hands-on leadership.
Provide regular coaching and technical mentorship to your immediate team as well as the broader engineering department.
Take direct responsibility for the quality and delivery of the team's work, and manage the end-to-end availability and performance of critical services.
Drive work based on goals and measurable outcomes that are accountable to KPIs.
Encourage best practices in design and usability, creating scalable engines with thorough documentation and knowledge sharing.
Resolve escalations arising from operations and work with various teams to solve production incidents through to resolution.
Collaborate with management and product teams to plan, estimate, and prioritize roadmap objectives and identify upcoming opportunities and risks.
Build highly reliable data services to integrate with dozens of blockchains.
Develop ETL pipelines that transform and process petabytes of structured and unstructured data in real time.
Design data models for optimal storage and retrieval to support sub-second latency for querying blockchain data.
Deploy and monitor large database clusters that are performant and highly available.
Work cross-functionally with data scientists, backend engineers and product managers to design and implement, and new data models to support TRM’s products.

What we’re looking for:

Bachelor's degree (or equivalent) in Computer Science or a related field.
5+ years of experience building distributed system architecture, from whiteboard to production.
Strong programming skills in Python, and SQL or SparkSQL.
Versatility. Experience across the entire spectrum of data engineering, including:\n
- Data stores (e.g., ClickHouse, ElasticSearch, Postgres, Redis, and Neo4j)
- Data pipeline and workflow orchestration tools (e.g., Airflow, DBT, Luigi, Azkaban, Storm)
- Data processing technologies and streaming workflows (e.g., Spark, Kafka, Flink)
- Deployment and monitoring infrastructure in public cloud platforms (e.g., Docker, Terraform, Kubernetes, Datadog)
- Loading, querying, and transforming large data sets
\n

About the Team:

Our team is spread out over several countries and time zones. To leverage the opportunities and address challenges that come with this working model, we've built a culture grounded in trust, transparency, and adaptability. Even though we're scattered across different time zones, we stay closely connected through open communication and regular check-ins. Our use of digital tools helps us collaborate seamlessly and work at an impressive pace, delivering results at TRM speed while staying in sync.
The diversity of perspectives and expertise within our team sparks creative exchanges and enhances our problem-solving capabilities, allowing us to leverage our global synergy to drive innovation and efficiency.
We're driven by a deep sense of ownership, constant pursuit of improvement and an obsession with delivering magical experiences to our customers; these are a core part of our culture.
We're driven by the desire to continuously hone our craft and to this end, we regularly assess our processes, seek feedback, and embrace iterative development to refine what we do.
We structure problems and use the 80/20 rule(for many outcomes, roughly 80% of consequences come from 20% of causes) to identify where to direct our razor-sharp focus.
Each of us is passionate about excellence and growth, and we're encouraged to challenge the status quo and experiment with new methods. This mindset creates an environment where innovation is part of our daily routine and every team member is an impact-oriented trailblazer.
By celebrating our successes and learning from our setbacks, we stay agile and forward-thinking, always striving to elevate our performance and impact.

Learn about TRM Speed in this position:

The team received a request from customers to show the running balance for assets tied to an address within the product. They brainstormed to determine the minimal viable solution that could be delivered within two weeks. The team decided to develop a framework that would facilitate enabling this feature for each chain (such as BTC, ETH, etc.) individually. They successfully implemented and tested this solution for the BTC chain and delivered it to customers within the two-week timeframe. This approach allowed the team to quickly provide value to customers and establish a repeatable process.
The team was tasked with implementing a new feature that would enable TRM to gather feedback from the user community swiftly. Due to the company's goal of showcasing the feature at an upcoming event, the timeline was tight. The team quickly adjusted to the request, assessed the requirements, and developed a solution that addressed 80% of the needs and could be executed within a very short timeframe. They successfully delivered the feature on schedule, impressing customers with both the functionality and the speed of execution.
The team was tasked with developing a solution to reveal Indirect Exposure through cross-chain swaps in response to a competitor's similar feature. Before choosing the technical approach, the team consulted with stakeholders to establish a feasible timeline for the implementation. With this input, the team devised a solution that fit the timeline, communicated the tradeoffs to stakeholders, and successfully delivered the solution as promised.

The following represents the expected range of compensation for this role:

The estimated base salary range for this role is $220,000 - $240,000.
Additionally, this role may be eligible to participate in TRM’s equity plan.

Life at TRM Labs

Leadership Principles

Our LPs are foundational elements of our strategy, guiding how we make decisions, how we treat each other, and how we behave day-to-day.

Impact-Oriented Trailblazer – We put customers first, driving for speed, focus, and adaptability.
Master Craftsperson – We prioritize speed, high standards, and distributed ownership.
Inspiring Colleague – We value humility, candor, and a one-team mindset.

Accelerate your Career

Join a mission-driven team of industry leaders and make a real-world impact—disrupting terrorist networks, recovering stolen funds, and more. At TRM, you will:

Work alongside top experts and learn every day.
Embrace a growth mindset with development opportunities tailored to your role.
Take on high-impact challenges in a fast-paced, collaborative environment.
Thrive in a culture of coaching, where feedback is fast, direct, and built to help you level up. We expect everyone to both give and receive feedback as part of how we get better—together.

What to Expect at TRM

TRM moves fast—really fast. We know a lot of startups say that, but we mean it. We operate with urgency, ownership, and high standards. As a result, you’ll be joining a team that’s highly engaged, mission-driven, and constantly evolving.

To support this intensity, we’re also intentional about rest and recharge. We offer generous benefits, including PTO, Holidays, and Parental Leave for full time employees.

That said, TRM may not be the right fit for everyone. If you're optimizing for work life balance, we encourage you to:

Ask your interviewers how they personally approach balance within their teams, and
Reflect on whether this is the right season in your life to join a high-velocity environment.
Be honest with yourself about what energizes you—and what drains you

We’re upfront about this because we want every new team member to thrive—not just survive.

Thrive as a Global Team

As a remote-first company, TRM Labs is built for global collaboration.

We cultivate a strong remote culture through clear communication, thorough documentation, and meaningful relationships.
We invest in offsites, regional meetups, virtual coffee chats, and onboarding buddies to foster collaboration.
By prioritizing trust and belonging, we harness the strengths of a global team while staying aligned with our mission and values.

Join our mission!

We’re looking for team members who thrive in fast-paced, high-impact environments and love building from the ground up. TRM is remote-first, with an exceptionally talented global team. If you enjoy solving tough problems and seeing your work make a difference for billions of people, we want you here. Don’t worry if your experience doesn’t perfectly match a job description— we value passion, problem-solving, and unique career paths. If you’re excited about TRM’s mission, we want to hear from you.

Recruitment agencies

TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement.

Privacy Policy

By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the TRM Privacy Policy

Learn More: Company Values | Interviewing | FAQs

","hiringOrganization":{"@type":"Organization","name":"TRM Labs","sameAs":"https://www.trmlabs.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States - Remote","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":35,"item":{"@type":"JobPosting","title":"Software Engineer, Data Platform","datePosted":"2025-07-21","description":"

ABOUT RETOOL

Nearly every company in the world runs on custom software: Gartner estimates that up to 50% of all code is written for internal use. This is the operational software for refunding orders, underwriting loans, onboarding employees, analyzing transactions, and providing customer support. But most companies don’t have adequate resources to properly invest in these tools, leading to a lot of old and clunky internal software or, even worse, users still stuck in manual and spreadsheet flows.

At Retool, we’re on a mission to bring good software to everyone. We’re building a new type of development platform that combines the benefits of traditional software development with a drag-and-drop UI editor and AI, making it dramatically faster to build internal tools. We believe that the future of software development lies in abstracting away the tedious and repetitive tasks developers waste time on, while creating reusable components that act as a force multiplier for future developers and projects. The result is not just productivity, but good software by default. And that’s a mission worth striving for.

Today, our customers span from small startups building their first operational tools to Fortune 500 companies building mission-critical apps for thousands of users across their business. Interested in joining us? Let us know!

WHY WE'RE LOOKING FOR YOU:

Retool is a fast-growing company with quickly evolving business needs. We’re looking to hire engineers to help us build out our data ecosystem to serve the needs of our business today and for broader scale years from now. We're looking for someone who is ready to get their hands dirty, is motivated by having an impact on the business, and is constantly curious. This is the right role for someone who thrives while making sense of the blurry space that is data at a high growth startup.

WHAT YOU'LL DO:

You’ll design and build the infrastructure and tooling that strengthens Retool’s data culture at scale. You’ll take on projects that solidify Retool’s analytics capabilities and help the company remain data-driven. You'll develop and scale ingestion infrastructure, optimize our ETLs, and design our data infrastructure for scale, with a keen eye for data warehouse management and tooling. You'll also take on ownership of our data stack to ensure that your teammates are able to access the data they need to make decisions and technical teams are able to quickly implement events. We’ve already built out a solid stack on top of Kafka, Databricks, DBT, and of course, Retool, but we need your help to ensure it scales with the company as our user base grows.

WHO YOU'LL WORK WITH:

You’ll work with stakeholders across the business, including data scientists, analytics engineers, finance, marketing, engineering, product, operations, and support. You’ll be joining a broader team of Retools who are passionate about serving our customers, enjoy collaborating to build an incredibly innovative product, and enjoy swapping stories. If this sounds like you, we’d love to hear from you!

IN THIS ROLE, YOU'LL:

Architect and scale a modern data platform that will be used internally by all of Retool
Build and maintain scalable ETL pipelines to efficiently process and transform large volumes of data from source systems into our data warehouse
Work with our engineering teams to ensure robust instrumentation across areas of the product
Partner with business stakeholders to synthesize and develop requirements for core tables
Implement monitoring and observability to guarantee data quality and consistency
Articulate and implement best practices around ingestion frameworks and data pipeline development

THE SKILLSET YOU'LL BRING:

3+ YOE Data Engineering experience
Experience with distributed processing frameworks (e.g. Spark, Hadoop)
Experience building Infrastructure as Code (e.g. Terraform)
Must know SQL and at least one programming language (e.g. Python, Java, Javascript)
Background in Data Engineering, 3+ years of experience building and maintaining scalable data infrastructure, including distributed processing solutions (e.g. Spark), cloud-based data lakes and warehouses (e.g. Databricks, Snowflake, BigQuery), workflow management (e.g. Airflow, Luigi), and data transformation tools (e.g. DBT)
Experience using Infrastructure as Code (IaC) to automate data infrastructure provisioning and management (i.e. Terraform)
Experience implementing and defining best data practices at scale
Experience proactively identifying opportunities to improve ETL & dashboard performance and cost
Proficiency with common git workflows and at least one programming language (e.g. Python, Scala, Java)
A solution-oriented growth mindset. You’ll need to be a self-starter and thrive in a dynamic environment
A bias towards communication and collaboration with business and technical stakeholders
Quantitative rigor and systems thinking

For candidates based in San Francisco, the pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings (OTE) for commissionable roles. This salary range may be inclusive of several career levels at Retool and will be narrowed during the interview process based on a number of factors such as (but not limited to), scope and responsibilities, the candidate’s experience and qualifications, and location.

Additional compensation in the form(s) of equity, and/or commission/bonuses are dependent on the position offered. Retool provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

San Francisco $164,600—$222,600 USD

Retool offers generous benefits to all employees and hybrid work location. For more information, please visit the benefits and perks section of our careers page!

Retool is currently set up to employ all roles in the US and specific roles in the UK. To find roles that can be employed in the UK, please refer to our careers page and review the indicated locations.

","hiringOrganization":{"@type":"Organization","name":"Retool","sameAs":"https://retool.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":36,"item":{"@type":"JobPosting","title":"Engineering Manager - Data Platform","datePosted":"2025-07-20","description":"Let's talk data! 350gb per hour, 400,000 decision requests per second!
You may not be actively looking, but this one is hard to miss. There aren’t many places in London that can offer this level of Data.
Do you want to lead a Platform Team that receives over 350gb of data an hour and responds to 400,000 decision requests each second, with petabytes of analytical data to work with? My client is an award-winning, global leader and technology innovator in location-based data, analytics, and advertising. They help brands such as McDonalds to understand and reach their current and potential customers and drive real-world business outcomes.
They’re headquartered in London, venture capital backed, financially successful and stable, and looking forward to continued growth.
We use technologies like Spark, AWS, Airflow, Docker, Kubernetes, BigQuery, Kafka, ScyllaDB, Druid, and Postgres and we’re constantly looking at how we can do things better.
You will be technically fluent and consider yourself a hands-on leader. You will report into the CTO. They have embraced WFH and expect to continue this indefinitely, with occasional face-face meetings in their Engineering Hub in Edinburgh, or in the London office.
They are the market leaders in Geo Location Data Services and are pioneering the technology, ahead of Facebook and Google, despite having only a fraction of the manpower. They are led by arguably one of the best technology leaders in Europe as their CTO.
The Role;
- Build, lead, and manage a cross-functional engineering team to design, deliver, support, and iterate data products and infrastructure- Drive a culture of Lean Development and ensure that the team you’re responsible for operates efficiently and effectively- Empower and mentor team members to improve their craft, deliver high-quality products, and develop themselves as individuals- Work cross-functionally to build a great engineering culture- Help identify and take advantage of new and innovative opportunities for commercial and technical growth- Ensure that our products and services are built and operate to a high standard and anticipate the future- Own some non-trivial technical responsibility, to help lead with empathy, mentor from experience, and maintain visibility on our key infrastructure
Benefits;
Company bank-holiday - an extra bank-holidayFree eye testsCasual dressChildcare vouchersCycle schemeDay off on your birthday!Competitive packagesEarly finish Friday - because you deserve itGym – subsidised gym membership
","hiringOrganization":{"@type":"Organization","name":"Techruiter","sameAs":"https://www.techruiter.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":37,"item":{"@type":"JobPosting","title":"Solution Architect, Data Platform","datePosted":"2025-07-15","description":"

Are you ready to play a key role in transforming Thomson Reuters into a truly data-driven company? Join our Data & Analytics (D&A) function and be part of the strategic ambition to build, embed, and mature a data-driven culture across the entire organization.

The Data Architecture organization within the Data and Analytics division is responsible for designing and implementing a unified data strategy that enables the efficient, secure, and governed use of data across the organization. We aim to create a trusted and customer-centric data ecosystem, built on a foundation of data quality, security, and openness, and guided by the Thomson Reuters Trust Principles. Our team is dedicated to developing innovative data solutions that drive business value while upholding the highest standards of data management and ethics.

About the Role

In this opportunity as a Solution Architect- Data Platform, you will:

Lead Architecture Design: Architect and Lead Data Platform Evolution: Spear head the conceptual, logical, and physical architecture design for our enterprise Data Platform(encompassing areas like our data lake, data warehouse, streaming services, and master data management systems). You will define and enforce data modeling standards, data flow patterns, and integration strategies to serve a diverse audience from data engineers to AI/ML practitioners and BI analysts. Explicitly design and evolve the data platform to robustly support advanced analytics and Artificial Intelligence/Machine Learning (AI/ML) based services, enabling the creation of innovative AI-driven applications.”

Technical Standards and Best Practices:

Research and recommend technical standards, ensuring the architecture aligns with overall technology and product strategy.
Be hands-on in implementing core components reusable across applications. Establish architectural standards and best practices for MLOps workflows, including automated model training, versioning, A/B testing, and continuous integration/deployment of AI models within the data platform infrastructure.
Hands-on Prototyping and Framework Development: While a strategic role, maintain a hands-on approach by designing and implementing proof-of-concepts and core reusable components/frameworks for the data platform.
This includes developing best practices and templates for data pipelines, particularly leveraging for transformations, and ensuring efficient data processing and quality. This also involves developing reusable patterns and integrations of AI services into the data ecosystem.

Champion Data Ingestion Strategies:

Design and oversee the implementation of robust, scalable, and automated cloud data ingestion pipelines from a variety of sources (e.g., APIs, databases, streaming feeds) into our AWS-based data platform, utilizing services such as AWSGlue, Kinesis, Lambda, S3, and potentially third-party ETL/ELT tools.
Design and optimize solutions utilizing our core cloud data stack, including deep expertise in Snowflake (e.g., architecture, performance tuning, security, data sharing, Snowpipe, Streams, Tasks) and a broad range of AWS data services (e.g., S3, Glue, EMR, Kinesis, Lambda, Redshift, DynamoDB, Athena, Step Functions, MWAA/Managed Airflow)to build and automate end-to-end analytics and data science workflows.
Demonstrating strong problem-solving and analytical skills. Align strategies with company goals. Stakeholder Collaboration: Collaborate closely with external and internal stakeholders, including business teams and product managers. Define roadmaps, understand functional requirements, and lead the team through the end-to-end development process.
Work in a collaborative team-oriented environment, sharing information, diverse ideas, and partnering with cross-functional and remote teams.
Quality and Continuous Improvement: Focus on quality, continuous improvement, and technical standards. Keep service focus on reliability, performance, and scalability while adhering to industry best practices.
Technology Advancement: Continuously update yourself with next-generation technology and development tools. Contribute to process development practices

About You

You're a fit for the role of Solution Architect Data Platform if your background includes:
Educational Background: Bachelor's degree in information technology.
Experience: 16+ years of IT experience with at least 5 years in a lead design or architectural capacity.
Technical Expertise: Broad knowledge and experience with Cloud-native software design,
Microservices architecture, Data Warehousing, and proficiency in Snowflake.Broad knowledge and experience with Cloud-native software design, Microservices architecture, Data Warehousing, proficiency in Snowflake, and a proven ability to design data architectures that specifically cater to the needs of Artificial Intelligence and Machine Learning (AI/ML) workloads, including MLOps principles. Collaborate with data scientists and AI/ML practitioners to architect and integrate AI-powered services and solutions within the data platform, enabling advanced analytics, machine learning, and intelligent automation capabilities for business stakeholders. Develop frameworks, patterns, and reusable components to support the operationalization and scaling of AI/ML models leveraging the organization’s cloud data stack.
Solid understanding of the end-to-end AI/ML lifecycle from data preparation and feature engineering to model training, deployment, and monitoring. Demonstrated ability to stay current with AI trends, concepts, and emerging technologies, and apply them to enhance data platform capabilities and solutions.
Cloud and Data Skills: Experience with building and automating end-to-end analytics pipelines on AWS, familiarity with NoSQL databases. Data Pipeline and Ingestion Mastery:
Extensive experience in designing, building, and automating robust and scalable cloud
Data ingestion frameworks and end-to-end data pipelines on AWS with a strong focus on supporting data readiness for AI/ML. This includes experience with various ingestion patterns (batch, streaming, CDC) and cloud-native AI/ML services.
Data Modeling: Proficient with concepts of data modeling and data development lifecycle.
Advanced Data Modeling: Demonstrable expertise in designing and implementing various Data models (e.g., relational, dimensional, Data Vault, NoSQL schemas) for transactional, analytical, and operational workloads. Strong understanding of the data development lifecycle, from requirements gathering to deployment and maintenance.
Leadership: Proven ability to lead architectural discussions, influence technical direction, and mentor data engineers, effectively balancing complex technical decisions with user needs and overarching business constraints
Programming Skills: Strong programming skills in languages such as Python or Java or data manipulation, automation, and API development.
Regulatory Awareness and Security Acumen: Data Governance and Security Acumen Deep understanding and practical experience in designing and implementing solutions compliant with robust data governance principles, data security best practices (e.g., encryption, access controls, masking), and relevant privacy regulations (e.g., GDPR, CCPA).
Containerization and Orchestration: Experience with containerization technologies like Docker and orchestration tools like Kubernetes.

#LI-VN1

What’s in it For You?

Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.

We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.

Learn more on how to protect yourself from fraudulent job postings here.

More information about Thomson Reuters can be found on thomsonreuters.com.

","hiringOrganization":{"@type":"Organization","name":"Thomson Reuters","sameAs":"https://www.thomsonreuters.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"IND-BLR-Salarpuria Sattva Knowledge Court, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":38,"item":{"@type":"JobPosting","title":"Head of Data Platform","datePosted":"2025-07-15","description":"

Description

Silverfort is a cyber-security startup that develops a revolutionary identity protection platform. Using patented technology, our product enables strong authentication across entire corporate networks and cloud environments, without any modifications to endpoints and servers. In addition, we use advanced behavior analytics to apply adaptive authentication policies and prevent cyber-attacks in real time.

Our mission is to provide industry-leading unified identity protection solutions for hybrid and multi-cloud environments. We develop cutting-edge cybersecurity technology that solves urgent customer needs today and is also a game changer for years to come.

Silverfort’s team includes exceptional researchers, engineers, and technology experts who successfully tackle some of the most complex challenges in cyber-security. Silverfort has happy customers worldwide, strong market validation (including several industry awards), strategic partnerships with the largest security vendors in the world, and significant funding from leading VCs.

As Head of Data Platform, you will establish and lead Silverfort’s Data Platform group within the R&D, shaping the long-term data strategy that powers decision-making, product development, and ML innovation across the company. Reporting directly to the VP of R&D, you will own the vision and execution of a modern, scalable, and secure data platform. This is a hands-on leadership role and you’ll play a key role in building the foundations of our data ecosystem, writing code, making architectural decisions, and growing a high-performing team.

Responsibilities

Architect, build & own the end-to-end data platform – data warehouses, lakes, streaming systems, orchestration pipelines
Take an active hands-on role in the design and development of the platform, especially in the early stages
Set the foundations and build Silverfort’s Data Platform group from scratch – including hiring, mentoring, and setting engineering and operational standards
Define and drive a multi-year roadmap for platform scalability, cost optimization, and reliability
Define and monitor metrics and KPIs to measure the health, performance, and impact of our data systems, continuously optimizing for scalability, reliability, and efficiency
Implement governance, security, and compliance practices – access control, lineage, auditing (GDPR/SOC2)
Collaborate cross-functionally with product, engineering, and business teams to enable data-driven decisions and innovation

Requirements

8+ years in data engineering/platform engineering, with 3+ years in leadership or management roles
Hands-on experience building and scaling modern data platforms - Snowflake, BigQuery, Databricks, one or more
Proven experience hiring, mentoring, and managing engineering teams
Strong knowledge of ETL/ELT pipelines, streaming vs batch, data modeling, distributed systems
Experience with orchestration and transformation tools (Airflow, dbt, Kafka, Flink, etc.)
Proven ability to build, mentor, and scale engineering teams
Excellent communicator - able to partner with technical and non-technical stakeholders, set vision, drive alignment
Domain experience in high-scale environments - e.g., SaaS, fintech, cybersecurity

","hiringOrganization":{"@type":"Organization","name":"Silverfort","sameAs":"https://silverfort.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tel Aviv-Yafo, IL","addressCountry":"Israel","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":39,"item":{"@type":"JobPosting","title":"AI & Data Platform Architect","datePosted":"2025-07-15","description":"

Role Summary

We’re looking for a hands-on AI & Data Platform\nArchitect to design and build a scalable, secure, and modular platform that\npowers AI research in healthcare. You’ll lead the technical architecture for\ntraining and deploying models on complex biomedical data, helping shape the\nfuture of AI in life sciences.

Key Responsibilities

Design and build a\n scalable AI/ML platform to support data pipelines, model training, and\n deployment.
Work with large, diverse\n biomedical datasets (clinical, genomic, proteomic, chemical).
Build secure, cloud-native\n infrastructure using containers and APIs.
Implement and scale\n foundation models, knowledge graphs, and embeddings.
Ensure compliance with\n security and privacy standards (e.g., HIPAA, SOC2).
Collaborate with\n cross-functional teams (data scientists, clinicians, engineers).
Mentor engineers and set\n best practices for ML platforms and MLOps.

Required Skills & Experience

Master’s or PhD in\n Computer Science, AI/ML, or related field.
10+ years in AI platform\n or infrastructure roles.
Strong experience with\n Python, ML frameworks (PyTorch, TensorFlow), and cloud platforms (AWS,\n GCP, Azure).
Experience with\n distributed systems, MLOps, and tools like MLFlow, Kubeflow, Databricks.
Familiar with GPUs,\n performance optimization, and data security practices.

Nice to Have

Background in life\n sciences or biomedical data (genomics, proteomics, EHRs).
Familiarity with drug\n discovery workflows and generative AI tools like LangChain or Hugging\n Face.
Knowledge of\n bioinformatics databases and ontologies.

What We Offer

Chance to shape a\n cutting-edge AI platform in a mission-driven startup.
Equity and growth\n opportunities in a fast-moving team.
Budget for learning and\n experimentation with AI/cloud tools.

","hiringOrganization":{"@type":"Organization","name":"Feathersoft","sameAs":"https://www.feathersoft.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Infopark, Kochi, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":40,"item":{"@type":"JobPosting","title":"Lead - Data Platform Engineering","datePosted":"2025-07-03","description":"

Company Description

Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done.

There’s another option. Freshworks. With a fresh vision for how the world works.

At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks’ customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And, over 4,500 Freshworks employees make this possible, all around the world.

Fresh vision. Real impact. Come build it with us.

Job Description

As an MDM Technology Analyst (IC3), you will be responsible for supporting the implementation, maintenance, and enhancement of Master Data Management (MDM) solutions utilizing tools such as Reltio, Reltio Integration Hub (RIH), Informatica MDM, and SQL/Python scripting. This role will also involve working with MDM workflows, D&B/ZoomInfo/Salesforce connectors, and ensuring smooth integration across systems. You will collaborate with cross-functional teams to ensure data integrity, quality, and accessibility across the organization.

Key Responsibilities:

MDM Implementation & Configuration:

Implement and configure MDM solutions using Reltio while ensuring alignment with business requirements and best practices.

Develop and maintain data models, workflows, and business rules within the MDM platform.
Work on Reltio Workflow (DCR Workflow & Custom Workflow) to manage data approvals and role-based assignments.

Data Integration & Transformation:

Support data integration efforts using Reltio Integration Hub (RIH) to facilitate data movement across multiple systems.
Develop ETL pipelines using SQL, Python, and integration tools to extract, transform, and load (ETL) data.
Work with D&B, ZoomInfo, and Salesforce connectors for data enrichment and integration.

Data Quality & Governance:

Perform data analysis and profiling to identify data quality issues and recommend solutions for data cleansing and enrichment.
Collaborate with stakeholders to define and document data governance policies, procedures, and standards.
Optimize MDM workflows to enhance data stewardship and governance.

Stakeholder Collaboration & Support:

Work closely with business teams, data stewards, and IT teams to understand and resolve MDM-related issues.
Conduct user training and provide ongoing support to ensure successful adoption of MDM tools and processes.
Stay updated on industry trends and emerging technologies in MDM, data integration, and data governance.

Qualifications

Education: B.E / B. Tech in Computer Science, Information Technology, or a related field.

Experience: 5-8 years of experience working with Reltio MDM in a professional setting.

Technical Skills:

Strong proficiency in SQL for data manipulation and querying.
Knowledge of Python scripting for data processing and automation.
Experience in Reltio Integration Hub (RIH) and handling API-based integrations.
Familiarity with Data Modelling Matching, Survivorship concepts and methodologies.
Experience with D&B, ZoomInfo, and Salesforce connectors for data enrichment.
Understanding of MDM workflow configurations and role-based data governance
Experience with AWS Databricks, Data Lake and Warehouse

Soft Skills:

Excellent analytical and problem-solving skills with a keen attention to detail.
Strong ability to communicate effectively with both technical and non-technical stakeholders.
Proven ability to work independently and collaborate in a fast-paced environment.

Key Requirements (Non-Negotiable):

Strong hands-on experience with Reltio MDM / Informatica MDM / Profisee MDM or core MDM concepts
Proficiency in Data Warehousing and SQL
Experience with application-to-application integrations is a strong plus

Additional Information

At Freshworks, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business.

","hiringOrganization":{"@type":"Organization","name":"Freshworks","sameAs":"https://www.freshworks.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chennai / Bengaluru, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":41,"item":{"@type":"JobPosting","title":"Data Platform Technology Lead","datePosted":"2025-08-01","description":"

Serves as the leader for the Data Technology & Platforms team within the Health & Benefits technology organization. Focus of the role will be to lead data management & engineering function and collaborate with business and technology groups to provide data and analytics solutions and services that are aligned to the business strategy and needs.

Seeking a hands-on, data-driven, innovation-focused individual who will make a positive impact and maximizes opportunities for using data consistently and effectively to generate analytics and insights. Demonstrates an excellent understanding of current trends in the data sciences field and can leverage them to meet business needs.

The Role

Lead the team responsible for developing data strategy, data architecture, data engineering, and data integration for the line of business.
Provide vision and direction to the resources focused on architecture, development and maintenance of data pipelines, operational databases and data lake infrastructures
Responsible for operational management of the data assets and pipelines to ensure data is accurate, complete, and timely.
Manage the documentation and metadata of the data assets and their representation within the Enterprise Data Catalog (Microsoft Purview)
Provide leadership to the team responsible for planning, building, and maintaining data and analytics capabilities to meet business needs.
Partner and collaborate with the line of business technology leaders, product owners and other business stakeholders to develop and implement data solutions and services and ensure alignment and effectiveness
Lead and develop the team, ensure effective day to day operations, change management, ensure deadlines, budgets and service levels are met, set objectives, define career paths, provide learning and development opportunities, conduct performance reviews, and continually improve results

15+ years of experience in data management or related technology solutions area with at least 8 years’ experience in leadership roles.
Bachelor’s degree in information technology, Data Science, or related field is desirable.
Strong data engineering skills with focus towards Microsoft Azure cloud technologies including SQL, Fabric, Synapse, ADF, Python, Power BI
Experience of defining or working within data governance frameworks and associated technologies (e.g. Purview)
Candidate must have experience in data architecture, data management, or data science fields. Experience with BI and Analytics
Strong knowledge of data architecture, data integration, master data management, analytics, and their application to solve business needs/opportunities with ability to lead a team of highly skilled hands-on associates focused on collection, storage, management, quality, and protection of data for internal and external consumption
Expertise in evaluating both external and internal capabilities that are required to support the data solutions and services needs of WTW
The ideal candidate will have good interpersonal and communication skills, leadership qualities and be a team player
The following WTW competencies are essential for this role: Customer Focus, Problem Solving, Action Oriented, Results Focus, and Organizing & Planning

Compensation and Benefits

Base salary range and benefits information for this position are being included in accordance with requirements of various state/local pay transparency legislation. Please note that salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, qualifications/experience, performance in the role and potential for revenue generation (Producer roles only).

Compensation

The base salary compensation range being offered for this role is $170,000.00 -$200,000.00USD annually.
This role is also eligible for an annual short-term incentive bonus.

Employment-based non-immigrant visa sponsorship and/or assistance is not offered for this specific job opportunity.

This position will remain posted for a minimum of three business days from the date posted or until a sufficient/appropriate candidate slate has been identified

Company Benefits

WTW provides a competitive benefit package which includes the following (eligibility requirements apply):

Health and Welfare Benefits: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Group Accident, Group Critical Illness, Life Insurance, AD&D, Group Legal, Identify Theft Protection, Wellbeing Program and Work/Life Resources (including Employee Assistance Program)
Leave Benefits: Paid Holidays, Annual Paid Time Off (includes state/local paid leave where required), Short-Term Disability, Long-Term Disability, Other Leaves (e.g., Bereavement, FMLA, ADA, Jury Duty, Military Leave, and Parental and Adoption Leave), Paid Time Off (only included for Washington roles)
Retirement Benefits: Qualified contributory pension plan (if eligible) and 401(k) plan with annual nonelective company contribution. Non-qualified retirement plans available to senior level colleagues who satisfy the plans’ eligibility requirements.

Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles County Fair Chance Ordinance for Employers, we will consider for employment qualified applicants with arrest and conviction records.

If the position allows for flexible working:

At WTW, we trust you to know your work and the people, tools and environment you need to be successful. The majority of our colleagues work in a ”hybrid” style, with a mix of remote, in-person and in-office interactions dependent on the needs of the team, role and clients. Our flexibility is rooted in trust and “hybrid” is not a one-size-fits-all solution.

We understand flexibility is key to supporting an inclusive and diverse workforce and so we encourage requests for all types of flexible working as well as location-based arrangements. Please speak to your recruiter to discuss more.

EOE, including disability/vets

","hiringOrganization":{"@type":"Organization","name":"WTW","sameAs":"https://www.wtwco.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Arlington, VA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"Senior Data Platform Engineer","datePosted":"2025-08-03","description":"

We are growing and are looking for future Axonians who value personal and career growth, team-work, and winning!

About Axonius:

Axonius is revolutionizing how IT and security teams gain comprehensive visibility and control over their digital assets and relationships. As the system of record for digital infrastructure, we solve complex challenges by delivering the critical context required to manage and secure devices, users, software, SaaS applications, and cloud services. By connecting to hundreds of data sources and automating key processes, we empower organizations to close security gaps and prevent incidents.

Learn more about us and take our Product tour.

What your day will look like:

Design, plan, and build all aspects of the platform’s data, machine learning (ML) pipelines, and infrastructure.
Build and optimize an AWS-based Data Lake using best practices in cloud architecture, data partitioning, metadata management, and security to support enterprise-scale data operations.
Collaborate with engineers, data analysts, data scientists, and other stakeholders to understand data needs.
Solve challenging data integration problems, utilizing optimal ETL/ELT patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
Lead end-to-end data projects from infrastructure design to production monitoring.

Reach out if you are:

Have 5+ years of hands-on experience in designing and maintaining big data pipelines across on-premises or hybrid cloud environments, with proficiency in both SQL and NoSQL databases within a SaaS framework.
Proficient in one or more programming languages: Python, Scala, Java, or Go.
Experienced with software engineering best practices and automation, including testing, code reviews, design documentation, and CI/CD.
Experienced in building and designing ML/AI-driven production infrastructures and pipelines.
Experienced in developing data pipelines and maintaining data lakes on AWS - big advantage.
Familiar with technologies such as Kafka, Snowflake, MongoDB, Airflow, Docker, Kubernetes (K8S), and Terraform - advantage.
Bachelor's degree in Computer Science or equivalent experience.
Strong communication skills, fluent in English, both written and verbal.
A great team player with a can-do approach.

Our culture and Benefits:

Axonius is committed to ensuring that each team member has a clear and attainable long-term career path. To support this, we allocate a yearly budget to every employee, enabling them to invest in their own growth and learning according to their specific needs and aspirations.
We understand the importance of maintaining a healthy work-life balance. That's why we provide our employees with three long weekends throughout the year, giving them the opportunity to rejuvenate, spend quality time with loved ones, and invest in their own well-being. In addition, we created a special parental leave policy which allows both primary caregiver and secondary caregiver to spend substantial time with their newborn. We’re also proud to offer extra vacation days for the following important life events: marriage, birth of a grandchild, special milestones related to your children, loss of pregnancy and bereavement.
We see you. As part of our culture, our employees' well-being is important to us.That’s why we offer psychological support services and support services.
While we have physical offices in the United State, Brazil, and Tel Aviv, we embrace a flexible working culture. The majority of our employees work remotely, regardless of their location around the globe. This flexibility allows us to tap into a diverse talent pool and enables our team members to work in a way that suits their individual preferences and circumstances.
As a global company, we strive for excellence in everything we do. To support our employees in communicating effectively across borders, we provide English lessons as part of our commitment to their success.

Equal opportunities:

At Axonius we support a diverse and inclusive workplace and believe in equal employment opportunity. We welcome people of different backgrounds, experiences, abilities and perspectives, regardless of race, color, ancestry, religion, age, sex, gender identity, national origin, sexual orientation, citizenship, marital status, disability, or Veteran status.

A little more about Axonius:

Axonius transforms asset intelligence into intelligent action. With the Axonius Asset Cloud, customers preemptively tackle high-risk and hard-to-spot threat exposures, misconfigurations, and overspending. The integrated platform brings together data from every system in an organization’s IT infrastructure to optimize mission-critical risk, performance, and cost measures via actionable intelligence. Covering cyber assets, software, SaaS applications, identities, vulnerabilities, infrastructure, and more, Axonius is the one place to go for Security, IT, and GRC teams to continuously drive actionability across the organization. Cited as one of the fastest-growing cybersecurity startups, with accolades from CNBC, Forbes, and Fortune, Axonius covers the lifecycle of millions of assets for leading customers across industries and around the world.

Axonius is named to the 2025 Fast Company World’s Most Innovative Companies and the 2024 Forbes Cloud 100. Axonius is recognized with the Great Place to Work Certification™ and for two years in a row, Axonius was ranked Deloitte Technology Fast 500 list. Axonius has been cited as the fastest-growing cybersecurity company in history by revenue.

By submitting your application to us, you acknowledge that your personal data will be processed in accordance with our Global Job Candidate Privacy Notice.

","hiringOrganization":{"@type":"Organization","name":"Axonius","sameAs":"https://www.axonius.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tel aviv, Israel","addressCountry":"Israel","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Software Engineer, Data Platform","datePosted":"2025-08-03","description":"

The Data Platform team collaborates with an experienced group of data scientists, engineers, and product managers to build highly available and scalable data infrastructure for TRM's products and services. As a Senior Software Engineer on the Data Platform team, you will be responsible for executing mission-critical systems and data services that analyze blockchain transaction activity at petabyte scale, and ultimately work to build a safer financial system for billions of people.

The impact you’ll have here:

Build highly reliable data services to integrate with dozens of blockchains.
Develop complex ETL pipelines that transform and process petabytes of structured and unstructured data in real-time.
Design and architect intricate data models for optimal storage and retrieval to support sub-second latency for querying blockchain data.
Oversee the deployment and monitoring of large database clusters with an unwavering focus on performance and high availability.
Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement novel data models that enhance TRM’s products.

What we’re looking for:

A Bachelor's degree (or equivalent) in Computer Science or a related field.
A proven track record, with 3+ years of hands-on experience in architecting distributed system architecture, guiding projects from initial ideation through to successful production deployment.
Exceptional programming skills in Python, as well as adeptness in SQL or SparkSQL.
Versatility that spans the entire spectrum of data engineering in one or more of the following areas:
\n
- In-depth experience with data stores such as Icerberg, Trino, BigQuery, and StarRocks, and Citus.
- Proficiency in data pipeline and workflow orchestration tools like Airflow, DBT, etc.
- Expertise in data processing technologies and streaming workflows including Spark, Kafka, and Flink.
- Competence in deploying and monitoring infrastructure within public cloud platforms, utilizing tools such as Docker, Terraform, Kubernetes, and Datadog.
- Proven ability in loading, querying, and transforming extensive datasets.
\n

About the Team:

The Data Platform team is the funnel between all of TRM's data world and product world. We care about all layers of stack including petabyte of data stores, pipelines, and processes.
We have quite a big scope as a the team with new and exciting projects every quarter. As a result, we collaborate across the board with most teams at TRM.
We believe in async communication and are also not afraid to jump on a quick huddle if that helps to move things faster. We are both scrappy when the situation demands and also process-oriented when we need to achieve our OKRs.
We are always looking for people who can elevate the quality our tech and our execution. If you enjoy a remote-first and async friendly environment to achieve efficacy and efficiency at petabyte scale, our team could be a great pick for you!
Team members are based in the US across almost all timezones! Our on-call tends to be in EST/PST shift, whatever suits you the best.
We do try to reserve some overlap in the day for meetings. Our north star - no IC spends more than 3-4 hours/week in meetings.

Learn about TRM Speed in this position:

Build scalable engines to optimize routine scaling and maintenance tasks like create self-serve automation for creating new pgbouncer, scaling disks, scaling/updating of clusters, etc.
Enable tasks to be faster next time and reducing dependency on a single person.
Identify ways to compress timelines using 80/20 principle. For instance, what does it take to be operational in a new environment? Identify the must have and nice to haves that are need to deploy our stack to be fully operation. Focus on must haves first to get us operational and then use future milestones to harden for customer readiness. We think in terms of weeks and not months.
Identify first version, a.k.a., \"skateboards\" for projects. For instance, build an observability dashboard within a week. Gather feedback from stakeholders after to identify more needs or bells and whistles to add to the dashboard.

About TRM's Engineering Levels:

Engineer: Responsible for helping to define project milestones and executing small decision decisions independently with the appropriate tradeoffs between simplicity, readability, and performance. Provides mentorship to junior engineers, and enhances operational excellence through tech debt reduction and knowledge sharing.

Senior Engineer: Successfully designs and documents system improvements and features for an OKR/project from the ground up. Consistently delivers efficient and reusable systems, optimizes team throughput with appropriate tradeoffs, mentors team members, and enhances cross-team collaboration through documentation and knowledge sharing.

Staff Engineer: Drives scoping and execution of one or more OKRs/projects that impact multiple teams. Partners with stakeholders to set the team vision and technical roadmaps for one or more products. Is a role model and mentor to the entire engineering organization. Ensures system health and quality with operational reviews, testing strategies, and monitoring rigor.

The following represents the expected range of compensation for this role:

Individual pay is determined by skills, qualifications, experience, and location. The compensation details listed in this posting reflect the US base salary only.
The estimated base salary range for this role is $170,000 - $190,000.
Additionally, this role may be eligible to participate in TRM’s equity plan.
Please note – we factor in the different costs for geographies outside the United States.

Life at TRM Labs

Leadership Principles

Our LPs are foundational elements of our strategy, guiding how we make decisions, how we treat each other, and how we behave day-to-day.

Impact-Oriented Trailblazer – We put customers first, driving for speed, focus, and adaptability.
Master Craftsperson – We prioritize speed, high standards, and distributed ownership.
Inspiring Colleague – We value humility, candor, and a one-team mindset.

Accelerate your Career

Join a mission-driven team of industry leaders and make a real-world impact—disrupting terrorist networks, recovering stolen funds, and more. At TRM, you will:

Work alongside top experts and learn every day.
Embrace a growth mindset with development opportunities tailored to your role.
Take on high-impact challenges in a fast-paced, collaborative environment.
Thrive in a culture of coaching, where feedback is fast, direct, and built to help you level up. We expect everyone to both give and receive feedback as part of how we get better—together.

What to Expect at TRM

To support this intensity, we’re also intentional about rest and recharge. We offer generous benefits, including PTO, Holidays, and Parental Leave for full time employees.

That said, TRM may not be the right fit for everyone. If you're optimizing for work life balance, we encourage you to:

Ask your interviewers how they personally approach balance within their teams, and
Reflect on whether this is the right season in your life to join a high-velocity environment.
Be honest with yourself about what energizes you—and what drains you

We’re upfront about this because we want every new team member to thrive—not just survive.

Thrive as a Global Team

As a remote-first company, TRM Labs is built for global collaboration.

We cultivate a strong remote culture through clear communication, thorough documentation, and meaningful relationships.
We invest in offsites, regional meetups, virtual coffee chats, and onboarding buddies to foster collaboration.
By prioritizing trust and belonging, we harness the strengths of a global team while staying aligned with our mission and values.

Join our mission!

Recruitment agencies

By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the TRM Privacy Policy

Learn More: Company Values | Interviewing | FAQs

","hiringOrganization":{"@type":"Organization","name":"TRM Labs","sameAs":"https://www.trmlabs.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States - Remote","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":44,"item":{"@type":"JobPosting","title":"Engineering Manager, Data Platform","datePosted":"2025-08-03","description":"

The impact you’ll have here:

Lead and develop a team of talented, high-impact engineers, providing cultural, technical, and hands-on leadership.
Provide regular coaching and technical mentorship to your immediate team as well as the broader engineering department.
Take direct responsibility for the quality and delivery of the team's work, and manage the end-to-end availability and performance of critical services.
Drive work based on goals and measurable outcomes that are accountable to KPIs.
Encourage best practices in design and usability, creating scalable engines with thorough documentation and knowledge sharing.
Resolve escalations arising from operations and work with various teams to solve production incidents through to resolution.
Collaborate with management and product teams to plan, estimate, and prioritize roadmap objectives and identify upcoming opportunities and risks.
Build highly reliable data services to integrate with dozens of blockchains.
Develop ETL pipelines that transform and process petabytes of structured and unstructured data in real time.
Design data models for optimal storage and retrieval to support sub-second latency for querying blockchain data.
Deploy and monitor large database clusters that are performant and highly available.
Work cross-functionally with data scientists, backend engineers and product managers to design and implement, and new data models to support TRM’s products.

What we’re looking for:

Bachelor's degree (or equivalent) in Computer Science or a related field.
5+ years of experience building distributed system architecture, from whiteboard to production.
Strong programming skills in Python, and SQL or SparkSQL.
Versatility. Experience across the entire spectrum of data engineering, including:\n
- Data stores (e.g., ClickHouse, ElasticSearch, Postgres, Redis, and Neo4j)
- Data pipeline and workflow orchestration tools (e.g., Airflow, DBT, Luigi, Azkaban, Storm)
- Data processing technologies and streaming workflows (e.g., Spark, Kafka, Flink)
- Deployment and monitoring infrastructure in public cloud platforms (e.g., Docker, Terraform, Kubernetes, Datadog)
- Loading, querying, and transforming large data sets
\n

About the Team:

Our team is spread out over several countries and time zones. To leverage the opportunities and address challenges that come with this working model, we've built a culture grounded in trust, transparency, and adaptability. Even though we're scattered across different time zones, we stay closely connected through open communication and regular check-ins. Our use of digital tools helps us collaborate seamlessly and work at an impressive pace, delivering results at TRM speed while staying in sync.
The diversity of perspectives and expertise within our team sparks creative exchanges and enhances our problem-solving capabilities, allowing us to leverage our global synergy to drive innovation and efficiency.
We're driven by a deep sense of ownership, constant pursuit of improvement and an obsession with delivering magical experiences to our customers; these are a core part of our culture.
We're driven by the desire to continuously hone our craft and to this end, we regularly assess our processes, seek feedback, and embrace iterative development to refine what we do.
We structure problems and use the 80/20 rule(for many outcomes, roughly 80% of consequences come from 20% of causes) to identify where to direct our razor-sharp focus.
Each of us is passionate about excellence and growth, and we're encouraged to challenge the status quo and experiment with new methods. This mindset creates an environment where innovation is part of our daily routine and every team member is an impact-oriented trailblazer.
By celebrating our successes and learning from our setbacks, we stay agile and forward-thinking, always striving to elevate our performance and impact.

Learn about TRM Speed in this position:

The team received a request from customers to show the running balance for assets tied to an address within the product. They brainstormed to determine the minimal viable solution that could be delivered within two weeks. The team decided to develop a framework that would facilitate enabling this feature for each chain (such as BTC, ETH, etc.) individually. They successfully implemented and tested this solution for the BTC chain and delivered it to customers within the two-week timeframe. This approach allowed the team to quickly provide value to customers and establish a repeatable process.
The team was tasked with implementing a new feature that would enable TRM to gather feedback from the user community swiftly. Due to the company's goal of showcasing the feature at an upcoming event, the timeline was tight. The team quickly adjusted to the request, assessed the requirements, and developed a solution that addressed 80% of the needs and could be executed within a very short timeframe. They successfully delivered the feature on schedule, impressing customers with both the functionality and the speed of execution.
The team was tasked with developing a solution to reveal Indirect Exposure through cross-chain swaps in response to a competitor's similar feature. Before choosing the technical approach, the team consulted with stakeholders to establish a feasible timeline for the implementation. With this input, the team devised a solution that fit the timeline, communicated the tradeoffs to stakeholders, and successfully delivered the solution as promised.

The following represents the expected range of compensation for this role:

The estimated base salary range for this role is $220,000 - $240,000.
Additionally, this role may be eligible to participate in TRM’s equity plan.

Life at TRM Labs

Leadership Principles

Our LPs are foundational elements of our strategy, guiding how we make decisions, how we treat each other, and how we behave day-to-day.

Impact-Oriented Trailblazer – We put customers first, driving for speed, focus, and adaptability.
Master Craftsperson – We prioritize speed, high standards, and distributed ownership.
Inspiring Colleague – We value humility, candor, and a one-team mindset.

Accelerate your Career

Join a mission-driven team of industry leaders and make a real-world impact—disrupting terrorist networks, recovering stolen funds, and more. At TRM, you will:

Work alongside top experts and learn every day.
Embrace a growth mindset with development opportunities tailored to your role.
Take on high-impact challenges in a fast-paced, collaborative environment.
Thrive in a culture of coaching, where feedback is fast, direct, and built to help you level up. We expect everyone to both give and receive feedback as part of how we get better—together.

What to Expect at TRM

To support this intensity, we’re also intentional about rest and recharge. We offer generous benefits, including PTO, Holidays, and Parental Leave for full time employees.

That said, TRM may not be the right fit for everyone. If you're optimizing for work life balance, we encourage you to:

Ask your interviewers how they personally approach balance within their teams, and
Reflect on whether this is the right season in your life to join a high-velocity environment.
Be honest with yourself about what energizes you—and what drains you

We’re upfront about this because we want every new team member to thrive—not just survive.

Thrive as a Global Team

As a remote-first company, TRM Labs is built for global collaboration.

We cultivate a strong remote culture through clear communication, thorough documentation, and meaningful relationships.
We invest in offsites, regional meetups, virtual coffee chats, and onboarding buddies to foster collaboration.
By prioritizing trust and belonging, we harness the strengths of a global team while staying aligned with our mission and values.

Join our mission!

Recruitment agencies

By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the TRM Privacy Policy

Learn More: Company Values | Interviewing | FAQs

","hiringOrganization":{"@type":"Organization","name":"TRM Labs","sameAs":"https://www.trmlabs.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States - Remote","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Data Platform PMO Manager","datePosted":"2025-06-30","description":"

About Us:

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services – and our open-access model – we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.

LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific.

Proud to share LSEG in Romania is Great Place to Work certified (Sept ’24 – Sept ’25). Learn more about life and purpose of our company directly from the Romanian colleagues’ video: Bucharest, Romania | Where We Work | LSEG

Role Description:

Data Platforms is an exciting collective of teams spanning product and engineering teams. The Data Platforms PMO Manager role is pivotal in supporting our leadership team make effective, data driven decisions, and building an engaging working environment for Data Platform's 1500+ people.

You will coordinate and lead the PMO services for Data Platform delivery portfolios, managing governance, risk, financials and reporting and drives a consistent and effective approach to project and programme management.

Key Responsibilities:

Works with Portfolio/Programme/Project Managers to understand and manage risk within the portfolio and enforces LSEG Group Standards for governance and risk management
Create and maintains the delivery schedule, milestones and tasks in the relevant scheduling tool(s) and supports the identification and management of dependencies, delivery risks and issues and tracks status
Prepares and distributes portfolio status reports, keeping management appraised of portfolio progress, major risks and issues and scope and resource changes
Completes the annual portfolio budget process and holds regular financial reviews to track key financial portfolio metrics
Maintains and creates visibility around the portfolio health and reporting, tracking and reducing delivery risk at a programme and portfolio level
Ensures adherence to project management standards and frameworks, governance procedures and standard templates
Builds and maintains a change roadmap for the portfolio and is responsible for the implementation of change management processes, policies and standard methodology
Leads the induction and training of all new project managers within the portfolio

Candidate Profile / Key Skills:

Proven PMO experience in a portfolio, project or programme management environment.
Strong ability to interpret complex datasets and derive actionable insights
Expertise in building interactive dashboards, reports, and data models.
Experience automating workflows and integrating data sources.
Proficiency in pivot tables, Power Query, and complex formulas.
Experience with Clarity tool is a plus

Desirable Certifications:

PMP® or PRINCE2®
Microsoft Certified: Data Analyst Associate (Power BI)

Benefits:

We are looking for intellectually curious people, passionate about the bigger picture of how technology industry is evolving, ready to ask difficult questions and deal with complicated scenarios! If you are creative and a problem solver, this is the place to be as will be supporting you to fast-forward your career!

We maximise each employee’s potential through personal development through a wide range of learning tools both formal and informal. We believe in remunerating our people with competitive salaries and a range of attractive benefits such as:

25 days’ holiday per year
1 additional day off for your Birthday
Annual wellness allowance
Share Purchase Plan
Medical Health Insurance
Medical Subscription (preventive medical services)
Life insurance
Pillar 3 Private Pension
Meal Vouchers
Flexible Benefits
Bookster
Volunteering Events
All LSEG colleagues with at least one year’s continuous service, who become parents, are now entitled to at least 26 weeks’ paid leave, and the option to return to work on a phased basis, in relation with specific company’s policy and guidelines

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

","hiringOrganization":{"@type":"Organization","name":"LSEG","sameAs":"https://www.lseg.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bucharest - Iuliu Maniu Boulevard, Romania","addressCountry":"Romania","addressRegion":"Europe"}}}},{"@type":"ListItem","position":46,"item":{"@type":"JobPosting","title":"Senior Data Platform Architect","datePosted":"2025-07-03","description":"

Role Overview

We are looking for a Senior Data Platform Architect to design and lead the implementation of a scalable, secure, and modern enterprise data platform. This role is central to our mission to enable real-time insights, machine learning at scale, and data democratization across the business. You will architect end-to-end data ecosystems — from ingestion to access — while driving standards that ensure trust, governance, and performance across domains.

What You’ll Own

Platform Strategy & Architecture

Define and lead the data platform strategy, aligning with analytics, AI/ML, and business intelligence goals.
Architect scalable solutions including lakehouse models, event-driven pipelines, and multi-cloud storage strategies.

Technical Leadership

Guide engineering teams in building robust batch and streaming data pipelines using best-in-class tools and frameworks.
Define reference architectures, blueprints, and guardrails to enable repeatable, secure, and performant platform components.

Modern Stack Enablement

Evaluate and implement tools across data orchestration, transformation, lineage, cataloging, and observability — e.g., Airflow, dbt, Delta Lake, Kafka, Snowflake, Databricks.

Governance by Design

Embed data privacy, lineage, and access control into the platform’s core — enabling compliance with GDPR, HIPAA, and industry regulations.

Cloud-Native Infrastructure

Design cost-efficient, elastic architectures on AWS, Azure, or GCP using infrastructure-as-code (Terraform, CDK, etc.)

Cross-Functional Alignment

Partner with analytics, product, and infrastructure leaders to ensure the platform meets current and future business needs.

Mentorship & Scale

Uplift engineering maturity across the team via design reviews, architecture clinics, and hands-on mentorship.

Requirements

8+ years in data engineering, architecture, or platform leadership roles
Proven experience architecting large-scale distributed data platforms in cloud environments
Strong expertise in data lake/lakehouse, streaming, and warehouse architectures
Hands-on familiarity with tools such as Spark, Kafka, dbt, Airflow, Delta Lake, and cloud-native storage & compute (e.g., S3 + EMR / BigQuery / Synapse)
Solid understanding of data modeling, cataloging, versioning, lineage, and access controls
Excellent communication skills — able to influence at both engineering and executive levels
Bachelor's or Master’s in Computer Science, Data Engineering, or a related field

Preferred Qualifications

Cloud certification (AWS Certified Data Analytics, GCP Professional Data Engineer, etc.)
Experience deploying data platforms in regulated industries (banking, healthcare, public sector)
Familiarity with data mesh, domain-driven design, or federated governance patterns
Exposure to MLOps and integration of AI/ML workloads on data platforms

Benefits

Benefits & Growth Opportunities:

· Competitive salary and performance bonuses

· Comprehensive health insurance

· Professional development and certification support

· Opportunity to work on cutting-edge AI projects

· International exposure and travel opportunities

· Flexible working arrangements

· Career advancement opportunities in a rapidly growing AI company

This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.

","hiringOrganization":{"@type":"Organization","name":"Deeplight","sameAs":"https://www.deeplight.insure/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Abu Dhabi, Abu Dhabi, United Arab Emirates","addressCountry":"United Arab Emirates","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":47,"item":{"@type":"JobPosting","title":"Staff Engineer - Data Platform","datePosted":"2025-07-21","description":"

Big Ideas. Real People.

At Orca, in the right environment and with the right team, talent has no boundaries. This team spirit, together with our drive to always aim high, has quickly earned us unicorn status and turned us into a global cloud security innovation leader. So if you’re ready to join an amazing team of people who inspire each other every day, now is the time to find your place in our pod.

We’re looking for driven and talented people like you to join our R&D team and our mission to change the future of cloud security. Ready to dive in and swim with our pod?

Highlights

High-growth: Over the past six years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
Disruptive innovation: Our founders saw that traditional security didn’t work for the cloud—so they set out to carve a new path. We’re relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
Well-capitalized: With a valuation of $1.8 billion, Orca is a cybersecurity unicorn dominating the cloud security space. We’re backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.

\nAbout the role
As a Staff Engineer on the Data Platform, you’ll be part of one of Orca’s most strategic engineering groups — tasked with building the core data ingestion and processing infrastructure that powers our entire platform. The team is responsible for handling billions of cloud signals daily, ensuring scalability, reliability, and efficiency across Orca’s architecture.
You’ll work on large-scale distributed systems, own critical components of the cloud security data pipeline, and drive architectural decisions that influence how data is ingested, normalized, and made available for product teams across Orca. We're currently in the midst of a major architectural transformation, evolving our ingestion and processing layers to support real-time pipelines, improved observability, and greater horizontal scalability—and we’re looking for experienced engineers who are eager to make foundational impact.
Our Stack: Python, Go, Rust, SingleStore, Postgres, ElasticSearch, Redis, Kafka, AWS\n \nOn a typical day you'll
\n

Write clean, concise code that is stable, extensible, and unit-tested appropriately
Write production-ready code that meets design specifications, anticipates edge cases, and accounts for scalability
Diagnose complex issues, evaluate, recommend and execute the best solution
Implement new requirements within our Agile delivery methodology while following our established architectural principles
Lead initiatives end to end—from design and planning to implementation and deployment—while aligning cross-functional teams and ensuring technical excellence
Test software to ensure proper and efficient execution and adherence to business and technical requirements
Provides input into the architecture and design of the product; collaborating with the team in solving problems the right way
Develop expertise of AWS, Azure, and GCP products and technologies

\n
\nAbout you
\n

Bachelor’s degree in Computer Science, Engineering or relevant experience
8+ years of professional software development experience
Proven experience building data-intensive systems at scale
Experience in working with micro-service architecture & cloud-native services
Solid understanding of software design principles, concurrency, synchronization, memory management, data structures, algorithms, etc
Hands-on experience with databases such as SingleStore, Postgres, Elasticsearch, Redis
Experience with Python / Go (Advantage)
Experience with distributed data processing tools like Kafka (Advantage)

\n\n

","hiringOrganization":{"@type":"Organization","name":"Orca Security","sameAs":"https://orca.security/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tel Aviv-Yafo, Tel Aviv District, Israel","addressCountry":"Israel","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":48,"item":{"@type":"JobPosting","title":"Senior Data Platform Engineer","datePosted":"2025-08-08","description":"

Who we are

Jemena is an Australian energy company who own and operate more than $12.4 Billion worth of gas and electricity transportation assets across Australia supplying millions of households and businesses with these essential services every day.

We pride ourselves on our innovative approach, technical expertise, and dedication to safety, quality, and sustainability. Our Group’s over 3000 team members, consistently strive to make a difference in the communities we serve.

Overview of our role

As the Senior Platform Engineer, you will be empowered to design, implement, and maintain Jemena’s data platform infrastructure; to support reliable, scalable, and efficient data processing across various business units. Your role will provide technical strategy and solutions to enhance our data engineering capabilities, ensuring high availability, performance, and security of our data environments.

Additionally, play a key role in managing platform integrations, optimising infrastructure as code (IaC), and develop reusable data engineering components and CI/CD pipelines. Be involved in ongoing support for critical platform services, including Databricks, Kafka, and TimescaleDB, and manage integrations with Confluent Kafka and SAP HANA. Furthermore, an opportunity to collaborate with product teams to review and guide code changes, ensuring alignment with best practices and Jemena’s architectural standards.

This role combines operational responsibilities with a focus on innovation, supporting Jemena’s digital strategy by enabling robust data engineering solutions to drive insight and decision-making capabilities across the organisation.

A little about you

Strong experience in designing, building, and managing scalable, secure, and high-performance data platforms.
Extensive hands-on expertise with Databricks, Terraform, and AWS cloud infrastructure, including Infrastructure as Code (IaC) and disaster recovery management.
Proven ability to develop and manage CI/CD pipelines (GitLab) for infrastructure and application deployments.
Hands-on experience with data integration tools like Confluent Kafka, SAP HANA, and TimescaleDB, along with Python and SQL for reusable libraries.
Familiarity with data orchestration (Apache Airflow) and large-scale data ingestion patterns.
Experience in agile environments, collaborating with cross-functional teams, with a strong focus on FinOps for cloud cost optimisation.

Qualifications / certifications & Skills

Strong understanding of cloud-based data engineering principles and modern data platform architectures.
Expertise in Databricks, data integration (Confluent Kafka, SAP HANA), and real-time data processing.
Proficiency in Infrastructure as Code (Terraform, AWS) and CI/CD best practices (GitLab) for automated deployments.
Skilled in Python and SQL for data engineering, including reusable libraries and scalable ingestion patterns (Apache Airflow).
Knowledge of data security, governance, and compliance in cloud environments, ensuring best practices within Jemena’s platform.

Why you should come and work for us 

Our people are our energy source and we offer meaningful benefits and rewards that work for you. We offer the opportunity for long term career growth as part of our talent development and succession planning process. Join our team and make a meaningful impact toward Australia’s “Net Zero” targets through the delivery of critical infrastructure projects and be a part of our journey to shape the future of the energy and utilities industry.

Jemena is among the first companies in Australia to be accredited as a Family Inclusive Workplace
flexible work arrangements, empowered to work your way & agile + additional leave benefits!
primary & secondary parental leave & well-being and family support benefits
numerous career development pathways + yearly financial support to upskill
annual bonuses + generous $$$ employee referral program
empowering you within a fun, diverse and inclusive culture
group benefits galore for all employees!
genuine focus on work / life balance

We are committed to developing a diverse and inclusive workforce that reflects the communities we are part of. We welcome applications from people of all ages, backgrounds, abilities, and identities. At Jemena, you belong.

Recruitment Process 

During our recruitment process, you will be required to undergo pre-employment checks including pre-employment medical, reference checks and a national police check. Notice to Third Parties: Jemena does not accept unsolicited resumes (or liability associated with fees or costs) from recruitment agencies, search firms or third parties. Interested candidates are welcome to submit their application independently.

","hiringOrganization":{"@type":"Organization","name":"Jemena","sameAs":"https://www.jemena.com.au/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Melbourne, VIC, AU","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":49,"item":{"@type":"JobPosting","title":"Principal Data Platform Engineer","datePosted":"2025-08-08","description":"

Ready to be a Titan?

Play a pivotal role as our Platform expert on our data team! As a Principal Platform Engineer, you will be part of the engineering team at ServiceTitan to help improve our data products and build new ones. This is an exciting role for an engineer to come in and lead the major feature development in the rapidly growing startup. We build for perfection, use the most modern tools, have an amazing culture, and love to solve complex problems. If you share the same values, you might find yourself in a perfect company.

What You'll Do

Assess and recommend architecture frameworks, design and implement high-performance solutions to support data and analytical products.
Architect high availability, scalable and fault tolerant solutions
Lead implementation of modern data curation solutions to allow developers to quickly onboard new data sources and enhance existing data integrations.
Partner with teams and systems to develop tools to extract, transform, and load data from a wide variety of sources and destinations.
Evaluate and implement efficient distributed storage and query techniques.
Champion high-quality code with corresponding test coverage
Participate in regular code reviews and engage in constructive discussions
Participate in Design sessions across different teams
Design automation tools for monitoring and measuring data quality, with associated user interfaces.

What You'll Bring:

10+ years of experience in Software Engineering / Data Engineering roles working in high traffic, fault tolerant, and highly available environments
Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of systems
Experience building real-time data pipelines
Experience with Spark, Python, DBT, C#, SQL
Experience with Big Data Technologies (Snowflake, Athena, Pinot, Clickhouse, Flink etc.)
Experience with Streaming platforms like Kafka or Kinesis
Experience with latest Generative AI technologies for data engineering development (Cursor, Copilot etc)
B.S., M.S. or PhD degree in Computer Science or a related field

Be Human With Us:

What We Offer:
When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:

Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career. We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. Great work is rewarded through Bonusly, peer-nominated awards, and more.
Holistic health and wellness benefits: Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents), FSA and HSA, 401k match, and telehealth options including memberships to One Medical.
Support for Titans at all stages of life: Parental leave and support, up to $20k in fertility services (i.e. IUI and IVF), surrogacy, and adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, pet insurance, legal advisory services, financial planning tools, and more.

ServiceTitan is committed to fair and equitable compensation for all of our employees. We thoughtfully consider a wide range of factors when determining individual compensation.The expected salary range for this role for candidates residing in the United States is between $221,400 USD - $296,100 USD. Compensation for candidates residing outside the United States will vary by location and the specific salary range will be discussed during the hiring process. Actual compensation for an individual may vary depending on skills, performance over time, qualifications, experience, and location. In addition to the base salary, the total compensation package also includes an annual bonus, equity and a holistic suite of benefits.","hiringOrganization":{"@type":"Organization","name":"ServiceTitan","sameAs":"https://www.servicetitan.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"US CA Remote, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":50,"item":{"@type":"JobPosting","title":"Principal Data Platform Architect","datePosted":"2025-08-08","description":"

Company Overview

ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 140 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 44 state government agencies, and 66 healthcare organizations. More than 600 consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me’s technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to “No Identity Left Behind” to enable all people to have a secure digital identity. To learn more, visit https://network.id.me/.

Responsibilities

Design and maintain the overall data architecture strategy, including data models for product, data lakes, warehouses, and pipelines for enterprise.
Define standards for data governance, data quality, metadata, and security.
Work closely with Engineering to implement high-quality data models and best practices across graph-based and traditional architectures.
Build and maintain logical and physical data models that support both analytical and operational use cases, with an emphasis on graph data modeling and semantic relationships.
Partner with business stakeholders to understand data needs and translate them into scalable data solutions, including graph-based solutions for relationship-driven use cases.
Evaluate, select, and implement data-related tools, platforms, and frameworks, including modern graph databases.
Ensure compliance with regulatory requirements (e.g., GDPR, FedRAMP) related to data storage and usage.
Monitor and optimize database performance and data workflows, including for graph workloads and query performance.
Provide guidance on master data management, data lineage, and data cataloging.
Coach and advocate for graph database technologies and data models across the organization, including executive leadership, product management, and engineering teams.
Promote the adoption of graph database capabilities by demonstrating business value and use case alignment through education and mentorship.

Basic Qualifications

Bachelor's degree in Computer Science or a related field of study.
15+ years of hands-on experience in data engineering and architecture for a large SaaS company or a mature startup.
15+ years of experience with data modeling, data warehousing, and distributed data processing systems that solve complex customer problems.
Proven expertise in data modeling for both relational and graph database systems.

Preferred Qualifications

Demonstrated ability to work with other Engineers and teams to help them arrive at optimal technical implementations.
Strong SQL skills and familiarity with at least one cloud platform (AWS, GCP, or Azure).\\
Deep expertise with graph databases (e.g., Neo4j, Amazon Neptune, or similar), including implementation, query optimization, and schema design.
Experience designing and advocating for graph-based data architectures and data models across cross-functional teams and stakeholders.
Excellent written and verbal communication skills, with the ability to influence and educate stakeholders at all levels of the organization.

The annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role.

ID.me offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development benefit.

The above represents the anticipated total rewards package for this job requisition. Final offers may vary from the amount listed based on qualifications, professional experiences, skills, education, relevant training, geographic location, and other job related factors.

U.S. Pay Range$212,602—$250,000 USDMountain View, CA Pay Range$248,750—$295,926 USD

ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. ID.me adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, ID.me's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations.

Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide ID.me with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy.

ID.me participates in E-Verify.

","hiringOrganization":{"@type":"Organization","name":"ID.me","sameAs":"https://www.id.me/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"McLean, Virginia; Mountain View, California, United States","addressCountry":"United States","addressRegion":"North America"}}}}]}

What You'll Do

Requirements

Nice to Have

Who will love this job

What you’ll do

You should have

Who we are

Who will love this job

What you’ll do

You should have

Who we are

Who will love this job

What you’ll do

You should have

Who we are

What You'll Do:

What You Bring:

About the Wikimedia Foundation

About the Wikimedia Foundation

About the Wikimedia Foundation

Meet DeepL

What sets us apart

Meet the team behind this journey

Your responsibilities

Qualities we look for

What we offer

We are an equal opportunity employer

How you’ll do it

The Right Stuff

Compensation & Benefits

Location Information

Additional Information

Werk waar je trots op kan zijn. Dit ga je doen.

Jouw sterke punten. Worden wij blij van.

Een goed team. Daar hoor je bij.

Mooie arbeidsvoorwaarden. Die wil je hebben.

Nu reageren. En laten zien wat je in huis hebt.

Company Description

Job Description

Qualifications

Additional Information

Description

About the position

Responsibilities

Requirements

Nice to have

What you'll do...

What you'll have...

Our Tech Stack...

💚 Why else you'll love it here

Key Responsibilities

Life at TRM Labs

Join our mission!

Description

Responsibilities

Requirements

Company Description

Job Description

Qualifications

Additional Information

Equal opportunities:

About TRM's Engineering Levels:

Life at TRM Labs

Join our mission!

Life at TRM Labs

Join our mission!

Ready to be a Titan?

What You'll Do

Assess and recommend architecture frameworks, design and implement high-performance solutions to support data and analytical products.

Architect high availability, scalable and fault tolerant solutions

Lead implementation of modern data curation solutions to allow developers to quickly onboard new data sources and enhance existing data integrations.

Partner with teams and systems to develop tools to extract, transform, and load data from a wide variety of sources and destinations.

Evaluate and implement efficient distributed storage and query techniques.

Champion high-quality code with corresponding test coverage

Participate in regular code reviews and engage in constructive discussions

Participate in Design sessions across different teams

Design automation tools for monitoring and measuring data quality, with associated user interfaces.

What You'll Bring:

10+ years of experience in Software Engineering / Data Engineering roles working in high traffic, fault tolerant, and highly available environments

Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of systems

Set your job search on autopilot

Product Manager Jobs

Product Manager, Data Platform

Product Manager, People Data Platform

Product Manager - Crossix Data Platform

Principal Product Manager, Data Platform

Principal Product Manager, Data Platform

Principal Product Manager, Data Platform

Senior Product Manager- Data Platform

Senior Product Manager(Data Platform)

Senior Product Manager- Data Platform

Senior Product Manager, Data Platform & AI

Group Product Manager, Data Platform Engineering

Group Product Manager, Data Platform Engineering

Group Product Manager, Data Platform Engineering

Principal Product Manager, Data Platform & Sharing

Product Manager - Data Platform and Analytics

Senior Technical Product Manager | Data Platform

Principal Product Manager, User Data Platform

Senior Product Manager - Data Platform and Analytics

Associate Data Platform Engineer - Cyber Data Platform

Data Platform Architect

Data Platform Architect

Data Platform Engineer

Data Platform Engineer

Data Platform Architect

Data Platform Architect

Data Platform Engineer

Data Platform Engineer

Data platform intern

Data Platform Engineer

Data Platform Engineer

Data Platform Engineer

Data Platform Admin

Software Engineer – Data Platform

Engineering Manager, Data Platform

Software Engineer, Data Platform

Engineering Manager - Data Platform

Solution Architect, Data Platform

Head of Data Platform

AI & Data Platform Architect

Lead - Data Platform Engineering

Data Platform Technology Lead

Senior Data Platform Engineer

Software Engineer, Data Platform

Engineering Manager, Data Platform

Data Platform PMO Manager

Senior Data Platform Architect

Staff Engineer - Data Platform

Senior Data Platform Engineer

Principal Data Platform Engineer

Principal Data Platform Architect