We are seeking an experienced Senior Data Modeller to join a high-performing data and analytics team responsible for delivering enterprise-wide data solutions. This is an exciting opportunity to contribute to large-scale data transformation initiatives, working across modern cloud, data warehouse, data lake, analytics, and integration environments.

You will play a key role in designing and maintaining high-quality data models that support business intelligence, analytics, regulatory reporting, operational systems, and strategic decision-making.

About the Role

As a Senior Data Modeller, you will be responsible for the design and governance of conceptual, logical, and physical data models across a complex enterprise environment. Working closely with business stakeholders, architects, analysts, and engineering teams, you will ensure data structures are scalable, consistent, and aligned with enterprise data standards.

This role requires strong data modelling expertise, excellent stakeholder engagement skills, and experience working with modern cloud-based data platforms and analytics solutions.

Key Responsibilities

- Develop and maintain conceptual, logical, and physical data models.
- Design enterprise data models supporting operational, analytical, and reporting requirements.
- Contribute to Data Warehouse, Data Lake, and analytics platform initiatives.
- Apply data modelling standards, best practices, and governance frameworks.
- Support Data Vault, dimensional and relational modelling methodologies.
- Collaborate with architects and engineering teams to align data designs with enterprise architecture.




- Conduct impact assessments and data analysis to support business initiatives.
- Facilitate workshops with business and technical stakeholders to define data requirements.
- Maintain data dictionaries, metadata repositories, and modelling documentation.
- Review and assure the quality of data models and associated artefacts.
- Support data governance, quality, and master data initiatives.
- Provide guidance and mentoring to project teams on data modelling practices.

Required Skills & Experience

- Extensive experience as a Data Modeller within large and complex environments.
- Solid expertise in conceptual, logical, and physical data modelling.
- Proven experience with Data Warehouse and Enterprise Data Architecture initiatives.
- Strong understanding of relational data modelling principles.
- Experience implementing Data Vault modelling methodologies.
- Experience with enterprise data modelling tools such as Erwin or equivalent.
- Knowledge of cloud-based data platforms (AWS and/or Azure).
- Strong SQL and data analysis capabilities.
- Experience working within agile delivery environments.
- Excellent stakeholder engagement, facilitation, and communication skills.
- Strong analytical, problem-solving, and documentation skills.

Desirable Skills

- Experience designing models for Data Lakes and large-scale analytics platforms.
- Exposure to Databricks, Spark, Snowflake, Synapse, Redshift, or similar technologies.
- Experience with NoSQL databases and modern data architectures.
- Knowledge of data governance and metadata management frameworks.
- Business intelligence and reporting platform experience.
- Experience working within highly regulated or enterprise-scale organisations.

📌 Data Modeller (Melbourne)
🏢 Elysium Digital
📍 Melbourne