Canberra, Australia | Posted on 11/05/2026 Security Clearance: Must have NV1 clearance Role Overview The Data Architect will lead the design and governance of the Enterprise Data Platform (EDP) architecture, ensuring data is structured, integrated, secured, and managed to support operational analytics, reporting, and future advanced capabilities. The role will work closely with the Assistant Director, Data Solutions, System Integrator, ICT, security, data governance teams, and business stakeholders to translate approved requirements into implementation-ready data architecture. Key Responsibilities Define and deliver target data architecture for the EDP, including scalable and secure design patterns aligned with Azure Databricks best practices Design conformed dimensions, canonical data models, and surrogate key strategies across priority datasets Develop fact and event models to support reporting, analytics, and point-in-time insights Establish bronze, silver, and gold data layer standards (medallion architecture) Produce implementation-ready dataset packs including source profiling, mappings, transformation logic, data quality rules, and acceptance criteria Define cross-dataset integration patterns, entity relationships, and inputs/outputs for entity resolution Design secure data access models, including RBAC, data masking, audit logging, and compliance controls Review and assure System Integrator designs, build artefacts, and release outputs Establish architecture guardrails covering Dev/Test/Prod environments, CI/CD, modular pipelines, and schema evolution Support migration of legacy reporting, workflows, and dashboards into the EDP Ensure architecture artefacts support sustainable operations, transition, and handover to internal teams Provide technical leadership and stakeholder engagement across business, ICT, and governance teams Requirements Demonstrated experience designing enterprise data architectures on cloud platforms, preferably Azure Databricks Strong expertise in dimensional modelling, conformed dimensions, and canonical data design Experience delivering medallion architectures, data pipelines, and data quality frameworks Knowledge of secure data platform design (RBAC, SSO concepts, masking, audit, lineage, retention) Proven experience reviewing and governing third-party delivery artefacts Understanding of DevOps practices including CI/CD, Git-based version control, and modular pipeline design Ability to translate business requirements into implementation-ready data architecture Strong stakeholder engagement and technical communication skills Ability to produce high-quality architecture artefacts and documentation Experience in regulated, law enforcement, or high-sensitivity data environments Experience with entity resolution, network analysis, or graph-based modelling Familiarity with controlled datasets (MoUs, statutory data controls) Experience migrating legacy analytics and reporting into governed platforms Experience supporting knowledge transfer and capability uplift Working Arrangements Based in Canberra with hybrid flexibility Full-time (40 hours per week), standard business hours #J-18808-Ljbffr