Core Role Requirements

- Demonstrated experience in data modelling, including conceptual, logical and physical data modelling, and a sound understanding of Enterprise Data Models (EDM).

- Demonstrated ability to coach, guide and uplift other data modellers through standards, reviews, training, mentoring and practical support.

- Experience defining and applying data modelling standards, conventions and governance practices aligned with recognised frameworks such as DAMA DMBOK.

- Experience using enterprise data modelling tools, including PowerDesigner, in either a user or administrator capacity.

- Solid stakeholder management and consulting skills, with the ability to work across business and technical teams to translate needs into modelling guidance and fit-for-purpose model designs.

- Experience in delivering presentations, facilitation sessions and training to uplift organisational capability in data modelling.

- Knowledge of dimensional modelling and Kimball techniques, including fact and dimension design, conformed dimensions and slowly changing dimensions.

- Knowledge of semantic models, ontologies and knowledge graphs.

- Knowledge of broader data management principles and practices, including metadata, data quality, governance and business glossary concepts.





- Ability to develop data models directly where required by customer demand, priority initiatives or areas needing specialist support.

Communication and leadership capabilities

- Highly developed written and verbal communication skills, with the ability to explain complex data concepts to both technical and non-technical stakeholders.

- Experience in delivering presentations, workshops and training to uplift data literacy and modelling capability.

- Demonstrated stakeholder management experience, with the ability to build effective working relationships across business and technical teams.

- Ability to work both independently and collaboratively within cross-functional teams, balancing enterprise standards with product and delivery needs.

Desirable qualifications and experience

- Degree in Computer Science, Information Management, Data Science or related discipline, or equivalent industry experience.

- Certification or training in DAMA DMBOK, data management, or data architecture.

- Experience integrating data models with master data management (MDM), reference data and data quality tools.

- Exposure to AI/ML use cases and understanding of how model design affects feature engineering, semantic enrichment and data products

📌 Data Modeler (Perth)
🏢 iVEGA Consulting
📍 Perth