Data Platform Manager

We're reimagining the way Australians live, work, and play. We own and manage some of the most recognisable and loved retail destinations across Australia.

 
We’re evolving our portfolio into destinations that offer a broad selection of retail, residential, and office spaces. Through our diverse portfolio, data-led decision-making, and nationwide development pipeline, we do things differently.

We are Vicinity.

Role purpose

We’re looking for a Data Platform Manager who’s passionate about building scalable, secure, and high performing data platforms that power everything from analytics to machine learning and AI. In this role, you’ll lead the architecture, development, and operations of our enterprise data platforms—ensuring they are reliable, observable, trusted, and designed to support the organisation’s strategic ambitions.

You’ll collaborate with engineers, architects, data scientists, analysts, and business stakeholders to create modern data environments that uplift decision making, embed data and AI governance, and accelerate innovation across Vicinity.

What you’ll be doing 

Platform Architecture 

• Design, develop, and maintain scalable data platform architectures aligned with business needs. 

• Ensure data quality and seamless integration across multiple systems and sources. 

• Own and enforce data security standards aligned to governance and privacy policies. 

• Stay across emerging technologies to drive continuous platform innovation. 

• Provide technical leadership and mentorship across the data and engineering teams. 

• Translate complex data requirements into practical, highquality technical solutions. 

Platform Operations 

• Lead day to day operations to ensure our data platforms are stable, secure, and high performing. 

• Implement and govern MLOps practices to enable reliable model deployment, monitoring, and lifecycle management. 

• Establish monitoring, observability, and alerting across all data pipelines and platforms. 

• Coordinate the Data Engineering team to maintain platform reliability and operational excellence. 

• Maintain high quality documentation, standards, and operational best practices. 

• Partner closely with platform, security, and governance teams to uphold data privacy and compliance. 

Platform Engineering 

• Design and manage ETL/ELT processes that ensure efficient, accurate data movement. 

• Oversee development of data warehousing and lakehouse solutions that support ML, AI, and analytics. 

• Optimise data workflows for performance, scalability, and resilience. 

• Monitor, troubleshoot, and continuously improve ETL processes and data availability. 

• Work with business and technical stakeholders to shape technical specifications from data requirements. 

 

Who you’ll work with 

You’ll partner closely with teams across our data and technology landscape, including: 

• Solutions, Enterprise & Domain Architects 

• Data Engineers & Platform Engineers 

• Analytics Platform Engineers 

• Data Scientists 

• Data & AI Enablement and Governance teams 

• Application Specialists 

• Heads of Customer & Asset Platforms and Enterprise Platforms 

 

What you’ll bring 

Essential Experience 

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or similar. 

• 10+ years in software development, including 7+ years across Data Analytics, Machine Learning, or AI. 

• Expertise in data architecture across SQL and NoSQL ecosystems. 

• Strong experience deploying containerised solutions. 

• Proven capability delivering production grade data pipelines. 

• Leadership experience managing Data Engineers and Platform Operations Engineers. 

Critical Knowledge 

• Deep experience with at least one major cloud platform (AWS, GCP, or Azure). 

• Proficiency in SQL and NoSQL technologies. 

• Skilled in Python and JavaScript. 

• Strong understanding of Docker and Kubernetes. 

• CI/CD experience (e.g., BuildKite) and Gitbased code management. 

Capabilities 

• Advanced skills in CI/CD and modern DevOps for data and ML workloads. 

• Ability to operationalise and deploy data pipelines, ML models, and AI services in containerised environments. 

• Strong observability mindset—ensuring data reliability, model quality, and pipeline performance. 

• Ability to build and mature data observability practices. 

• Excellent communication and stakeholder engagement skills. 

• Strength in designing and delivering data platform solutions that enable ML and AI at scale. 

 

Why join us? 

At Vicinity, you’ll be stepping into a role that sits at the intersection of data, digital innovation, and enterprise strategy. You’ll shape the foundations of our AI and analytics capabilities and influence how data drives our future. This is a rare opportunity to lead a modern data platform practice in an environment ready to invest, evolve, and innovate.

Why Vicinity?

Our benefits program focuses on creating an awesome place to work in which our people are rewarded and recognised. This includes:

• Flexible working options

• Birthday leave & purchased additional leave

• $1,000 worth of VCX securities rewarded for eligible team members

• Generous Parental Leave

We live and work by our values of Respect, Integrity, Customer Focus, Collaboration and Excellence. They are the foundation to everything we do and provide us a north star with which we can shape meaningful places where communities connect.

At Vicinity we embrace and celebrate diversity and are committed to creating an inclusive work environment where we attract, retain and develop our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community.

We are aware of current limitations with our website accessibility and are working towards improving this. Should you experience any issues accessing information in this job advertisement or the application form, and require this in an alternate format, please contact our Talent Acquisition Team. Similarly, if you would like to discuss workplace accessibility, any reasonable adjustments we can make to better support you during the recruitment process, or your potential future role please reach out to our Talent Acquisition team:

Email: talent.acquisition@vicinity.com.au

Phone: +61 3 7001 4000 (request to speak to our Talent Acquisition team)

Note: To be eligible to apply for this position, you must have existing, relevant Australian work rights. At the later stages of the recruitment process the shortlisted candidate/candidates will be required to undergo a Criminal History Background/Police Check as a mandatory part of the process. Additional qualification checks may also be required dependant on role and level.