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.
- Robust 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.
- Strong 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