Vicinity Centres is seeking a Data Platform Manager in Canberra to design, build, and run scalable data platforms that power analytics, ML and AI. You will own architecture and operations, ensure data quality and governance, and lead the data engineering teams while collaborating with architects, data scientists, analysts and stakeholders to translate complex data needs into practical, high quality solutions. The role demands strong cloud experience (AWS, GCP or Azure), expertise in SQL and NoSQL, and hands on with containerised deployments, Python, JavaScript, and CI/CD with MLOps. To apply, tailor your resume to show 10+ years in software and 7+ years in data analytics/ML, demonstrate production pipelines and leadership impact, and clearly address Australian work rights plus willingness to be onsite in Canberra.
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.
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.
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: [email protected]
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.