Principal Data Engineering Manager

Imagine being at the forefront of a revolution powered by Data and Artificial Intelligence, where your leadership directly shapes how Microsoft engages with billions of customers worldwide. As Principal Data Engineering Manager in the Global Marketing Data Engineering team, you’ll guide a talented group of engineers to build and scale cutting-edge data platforms—enabling personalized customer journeys, driving media innovation, and powering high-impact campaigns that redefine customer engagement. In this role, you’ll have the opportunity to architect and deliver data products that integrate, enrich, and unlock deep insights across countless scenarios. You’ll work hands-on with advanced technologies like Microsoft Fabric and Purview, and collaborate closely with business, analytics, and engineering stakeholders to translate complex requirements into actionable solutions. If you’re passionate about leading high-impact teams, driving technical strategy, and making a world-changing impact through data, this is your opportunity to unleash your potential and help shape the future of marketing at Microsoft.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

Team Leadership & Development

• Lead, coach, and empower a team of data engineers to deliver high-impact data solutions.
• Foster a culture of innovation, accountability, and customer focus.
• Model Microsoft values and drive team growth through mentorship and career development.

Technical Strategy & Execution

• Define, document and drive development of connected marketing data model across the customer lifecycle identifying data gaps in the current state and producing strategy and roadmap to address the gaps.
• Identify patterns of data needs to help translate to data product capabilities and solutions.
• Own the end-to-end delivery of data products and models that enable critical business insights and campaign performance measurement.
• Provide technical leadership by identifying dependencies across teams and translating product vision and strategy into tangible impact.
• Define and drive technical requirements, architecture, and roadmaps for scalable data solutions using Microsoft Fabric, Azure Data stack, and Lakehouse architectures.
• Oversee data acquisition, semantic model development, and deployment pipelines.

Stakeholder Management

• Build partnerships with analytics, marketing, and engineering stakeholders to understand business needs and evaluate solution options.
• Influence and negotiate cross-organizational dependencies impacting roadmaps and delivery.
• Drive the federated marketing data strategy across multiple source data engineering teams.

Operational Excellence

• Ensure data quality, reliability, and security across all data flows and products.
• Implement monitoring, issue responsiveness, and privacy-compliant data processing practices in collaboration with Data Platform and Product Management teams.
• Drive Agile/Scrum execution, backlog management, and vendor team coordination.

Innovation & Continuous Improvement

• Define and establish engineering excellence frameworks, standards, and best practices, driving adoption across Data Engineering.
• Contribute to enhancing architecture, design principles, and frameworks through feedback and domain-specific scenarios.
• Champion the adoption of innovative technologies and continuous improvement across the data engineering organization.

Other

• Embody our Culture and Values

Qualifications

Required/Minimum Qualifications

• Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.
• 6+ years of experience in data engineering, software development, or technical program management.
• 3+ years of experience managing cross-functional or cross-team projects, building partnerships with internal/external clients and delivering high-quality data solutions.
• 4+ experience with big data platforms, data modeling, extract, transform and load (ETL), and cloud technologies (Microsoft Fabric, Azure Data stack, Lakehouse architectures).

Additional or Preferred Qualifications

• Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 12+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.
• 3+ years people management experience.
• 3+ years experience with data governance, data compliance and/or data security.
• Experience in digital media, paid media, marketing, or web analytics.
• Experience with secure development practices, privacy compliance, and Role-Based Access Control (RBAC) security models.
• Experience managing execution through vendor teams.

Data Engineering M5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until October 23, 2025.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to 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.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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