Data Products Solution Architect

About the role

APRA is looking for an experienced Data Products Solution Architect to help shape its enterprise data platforms. Initially focused on data transformation with a strong emphasis on Azure Databricks, the role modernises legacy platforms and establishes secure, scalable and sustainable data solutions. It bridges strategy and delivery, offering solution architecture leadership, design assurance and hands-on technical guidance, and later broadens across data, integration, analytics, reporting and AI. The position sits in the Technology Data Delivery team within APRA's Technology and Data division.

Key responsibilities

• Lead solution architecture across APRA's data products and platforms, initially on Azure Databricks
• Define current, transition and target-state architectures and technology roadmaps
• Lead Databricks architecture across platform design, governance, orchestration, security, resilience, observability, performance and cost
• Develop solution designs and architecture decisions and guide them through governance
• Define reusable data, integration, engineering and DataOps patterns, including CI/CD, automated testing and infrastructure as code
• Lead architecture for data migration, coexistence and legacy platform decommissioning
• Contribute to APRA's broader data products and AI roadmaps
• Partner with delivery teams to turn architecture into practical implementation and support transition to business-as-usual
• Provide technical leadership and design assurance to engineers, vendors and senior stakeholders
• Communicate technology options, risks, dependencies and trade-offs to technical and non-technical audiences

Required profile

• Experienced solution or data architect combining deep technical expertise with strong communication, stakeholder management and delivery skills
• Extensive solution or data architecture experience, including enterprise-scale Azure Databricks architecture and delivery
• Strong data modelling and migration experience across legacy data warehouses and modern cloud platforms
• Experience designing secure, scalable and resilient enterprise solutions
• Understanding of security, privacy, data governance, responsible AI and operational controls
• Experience across integration, APIs, analytics and reporting platforms
• Ability to influence senior stakeholders while working with engineers and delivery teams
• Australian citizenship with eligibility to obtain and maintain Australian Government security clearance

Required skills

• Azure Databricks, Unity Catalog, Delta Lake, Workflows, Databricks SQL and serverless compute
• Lakehouse architecture and DataOps (Git, CI/CD, automated testing, observability)
• Power BI, Posit, MuleSoft or regulatory data platforms are highly regarded; relevant Azure or Databricks certifications are also valued