Job Title: Data Architect
Security Clearance: Must hold Baseline clearance
Duration: Initial 6 months
Industry: Information Technology
Functional Expertise: Data Architecture
Sub-functional Expertise: Data Modelling, Data Management and Data Governance
Location of work: ACT
Working arrangements: Hybrid (required to work in the office 3–4 days per week in a desk-sharing environment)
Closing date: 9AM Thursday, 11 June 2026
Description:
Our client is seeking an experienced Data Architect to lead the design and development of information models and data architecture foundations supporting a significant digital transformation initiative. The role is responsible for defining and harmonising data models and schemas, translating business and regulatory requirements into structured data solutions, establishing data governance and quality frameworks, and supporting interoperability across systems and stakeholders. The successful candidate will contribute to the development of data standards, reference models, integration approaches and reusable architecture artefacts to support effective information exchange and long-term organisational capability.
Responsibilities:
- Translate business and regulatory requirements into logical data models, including entities, relationships, attributes, business rules and constraints.
- Lead the design and development of information models, including conceptual and logical data models and associated schemas.
- Lead mapping of regulatory reporting forms and data elements, including documenting crosswalks and transformation rules.
- Define and maintain reference data and harmonisation approaches including code sets, controlled vocabularies and domain definitions.
- Develop and maintain project plans and delivery schedules for data architecture deliverables.
- Undertake data stocktakes and mapping of available data sources.
- Design and document structured data exchange artefacts and validation rules.
- Advise on integration approaches and patterns to support information exchange with downstream systems and stakeholders.
- Contribute to data governance arrangements, including metadata, lineage and data quality management.
- Lead stakeholder engagement on data architecture matters and present recommendations to working groups.
- Build and maintain reusable data architecture artefacts and repositories.
- Assess data quality, completeness and fitness-for-purpose and recommend remediation actions.
- Validate data architecture artefacts with stakeholders and ensure traceability from requirements to published models and specifications.
- Deliver knowledge transfer and handover of architecture deliverables.
- Ensure records are maintained in accordance with organisational record-keeping standards.
- Exercise delegations in accordance with applicable policies and guidelines.
- Take reasonable care for health and safety obligations.
Requirements:
- Demonstrated experience in data modelling and schema design for complex business and regulatory domains.
- Experience translating business and regulatory requirements into logical data models.
- Experience building data reference models, datasets and supporting data artefacts including data dictionaries, mapping specifications and metadata.
- Experience in reference data management and data harmonisation across organisations.
- Strong knowledge of data governance, data quality and metadata management practices.
- Experience developing structured data exchange artefacts and integration patterns.
- Ability to engage effectively with stakeholders and facilitate cross-organisational collaboration.
- Experience maintaining reusable architecture repositories and documentation.
Key Capabilities:
- Data architecture and information modelling.
- Data management and governance.
- Data harmonisation and reference data management.
- Data quality assessment and remediation.
- Stakeholder engagement and collaboration.
- Integration and interoperability design.
- Delivery planning and documentation.
- Knowledge transfer and capability uplift.
Essential Criteria:
- Data management: Level 5 (SFIA) Devises and implements master data management processes. Derives data management structures and metadata to support consistency of information retrieval, combination, analysis, pattern recognition and interpretation, throughout the organisation. Plans effective data storage, sharing and publishing within the organisation. Independently validates external information from multiple sources. Assesses issues that might prevent the organisation from making maximum use of its information assets. Provides expert advice and guidance to enable the organisation to get maximum value from its data assets.
- Data modelling and design: Level 4 (SFIA) Investigates enterprise data requirements where there is some complexity and ambiguity. Plans own data modelling and design activities, selecting appropriate techniques and the correct level of detail for meeting assigned objectives. Provides advice and guidance to others using the data structures and associated components.
- Demonstrated experience in data modelling and schema design (conceptual and logical modelling) for complex business and regulatory domains.
- Experience translating business and regulatory requirements into logical data models, including defining entities, relationships, attributes, business rules and constraints.
- Experience in building data reference models, data sets and supporting data artefacts (e.g., data dictionaries, mapping specifications and metadata).
- Experience in reference data management and data harmonisation across organisations (including code sets, controlled vocabularies and domain definitions).
Desirable Criteria:
- Database design: Level 5 (SFIA) Provides specialist expertise in the design characteristics of database management systems or data warehouse products/services. Provides expert guidance in the selection, provision and use of database and data warehouse architectures, software and facilities. Ensures that physical database design policy supports transactional data requirements for performance and availability. Ensures that data warehouse design policy supports demands for business intelligence and data analytics.
- Specialist advice: Level 5 (SFIA) Provides definitive and expert advice in their specialist area. Actively maintains recognised expert level knowledge in one or more identifiable specialisms. Oversees the provision of specialist advice by others. Consolidates expertise from multiple sources, including third-party experts, to provide coherent advice to further organisational objectives. Supports and promotes the development and sharing of specialist knowledge within the organisation.
- Stakeholder relationship management: Level 4 (SFIA) Deals with problems and issues, managing resolutions, corrective actions, lessons learned, and the collection and dissemination of relevant information. Implements stakeholder engagement/communications plan. Collects and uses feedback from customers and stakeholders to help measure the effectiveness of stakeholder management. Helps develop and enhance customer and stakeholder relationships.
- Systems design: Level 4 (SFIA) Designs system components using appropriate modelling techniques following agreed architectures, design standards, patterns and methodology. Identifies and evaluates alternative design options and trade-offs. Creates multiple design views to address the concerns of the different stakeholders and to handle functional and non-functional requirements. Models, simulates or prototypes the behaviour of proposed system components to enable approval by stakeholders. Produces detailed design specifications to form the basis for the construction of systems. Reviews, verifies and improves own designs against specifications.
How to apply:
Please submit your application including your resume and a completed application form addressing the essential and desirable criteria. Ensure your application highlights your experience and any relevant certifications.
| Job type: | Contract |
|---|---|
| Emp type: | Full-time |
| Pay rate: | negotiable |
| Job published: | 05/06/2026 |