We are seeking an experienced Enterprise Data Architect to join our team and lead the design and evolution of enterprise-scale data capabilities within a major transformation environment.
This role will play a critical part in defining the future-state data architecture, establishing governance frameworks, shaping data migration strategies, and enabling secure, scalable analytics and AI-ready platforms.
The successful candidate will work across business and technology teams to ensure data is treated as a strategic asset and that enterprise data investments deliver long-term value.
This is an opportunity to influence architecture decisions at an organisational level while guiding the implementation of modern cloud-based data platforms and information management capabilities.
Key Responsibilities
Develop and maintain enterprise data architecture principles, standards, reference models, and roadmaps.
Design future-state data platforms including data lakes, data warehouses, lakehouses, and analytical ecosystems.
Define and govern enterprise data models, metadata frameworks, and data lifecycle management practices.
Lead the development of data migration strategies, sequencing plans, transition architectures, and migration governance.
Establish and promote best-practice approaches for data quality, lineage, stewardship, security, and compliance.
Guide the selection and implementation of enterprise data catalogue and metadata management capabilities.
Collaborate with business stakeholders, architects, engineers, security teams, and delivery partners to align data solutions with strategic objectives.
Provide architectural leadership across cloud and hybrid data environments.
Support AI and advanced analytics initiatives by ensuring trusted, governed,



and reusable data assets are available.
Contribute to architecture governance forums, design reviews, and technology decision-making processes.
Essential Skills & Experience
NV1 Security Clearance
Demonstrated experience operating as an Enterprise Data Architect within large and complex organisations.
Strong experience designing enterprise data platforms, including data warehouses, data lakes, lakehouses, and analytical ecosystems.
Experience developing and implementing enterprise data strategies, architecture roadmaps, and governance frameworks.
Robust understanding of data modelling disciplines including conceptual, logical, and physical modelling.
Proven experience leading complex data migration and transformation initiatives.
Experience implementing metadata management, data lineage, data quality, and data governance capabilities.
Strong stakeholder engagement skills with the ability to influence technical and non-technical audiences.
Experience working in cloud-based data environments, ideally across Microsoft Azure and associated data services.
Excellent written documentation, architecture modelling, and communication skills.
Highly Desirable
Experience with Master Data Management (MDM) solutions and frameworks.
Experience implementing enterprise data catalogue platforms such as Microsoft Purview, Collibra, Informatica, Alation, or similar.
Knowledge of Microsoft Azure data services including Fabric, Databricks, Synapse Analytics, Data Factory, and Data Lake technologies.
Experience supporting AI, machine learning, or advanced analytics initiatives through modern data architecture practices.
Experience within Federal Government or other highly regulated environments.
TOGAF, DAMA, cloud architecture, data architecture, or related certifications.
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📌 Enterprise Data Architect (Canberra)
🏢 Elysium Digital
📍 Canberra