Data Modeller

Elysium Digital; Melbourne; On-site; AUD 140,000 - 190,000; Full time

Job summary

Elysium Digital in Melbourne, Australia seeks a Senior Data Modeller to shape enterprise data models and govern data architecture across cloud, data warehouse and lake environments.

You will collaborate with stakeholders, architects and engineers to ensure scalable, standards-aligned designs supporting BI, analytics and regulatory reporting.

Qualifications

• Extensive experience as a data modeller in large, complex environments.
• Proven ability to design conceptual, logical and physical models.
• Strong track record with Data Warehouse and enterprise data architecture initiatives.
• Solid understanding of relational modelling and Data Vault approaches.
• Experience with cloud data platforms and data governance practices.

Responsibilities

• Develop and maintain conceptual, logical, and physical data models.
• Design enterprise data models for operational, analytical, and reporting needs.
• Contribute to Data Warehouse, Data Lake, and analytics initiatives.
• Apply modelling standards and governance throughout projects.
• Support Data Vault, dimensional and relational modelling methods.
• Collaborate with architects and engineers to align designs with enterprise standards.
• Perform impact analyses and data analyses to support business goals.
• Lead workshops to define data requirements with stakeholders.
• Review data models and artefacts for quality and consistency.
• Support governance, quality and master data initiatives.

Skills

Data modelling

Data warehouse

Data governance

Stakeholder engagement

SQL

Cloud platforms (AWS/Azure)

Agile

Tools

Erwin

Databricks

Spark

Snowflake

Synapse

Redshift

Job description

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.
• 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.
• Strong 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.
• 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.