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About the Role
We are looking for a Senior Data Modeler who can step in quickly, bring structure to complex information and develop models that work in practice. This role involves working directly in Databricks to profile source data, design and prototype Silver and Gold-layer models, write SQL and physically build and validate tables. You will own modelling decisions covering grain, keys, relationships, dimensional structures, data quality and business rules. This is a senior role for someone who combines strong technical judgement with the confidence to work through ambiguity and make an immediate impact.
Responsibilities
- Develop conceptual, logical and physical data models across enterprise data products.
- Work directly in Databricks to profile data and design Silver and Gold-layer models.
- Define grain, keys, relationships, facts, dimensions, business rules and data-quality controls.
- Write and optimize SQL to physically build, validate and tune tables.
- Apply Kimball and/or Data Vault approaches while maintaining consistent modelling standards and documentation.
- Work with Data Engineers to ensure models are implemented correctly and are scalable, reusable and production-ready.
- Explain and defend design decisions to business, engineering, architecture and governance stakeholders.
- Facilitate modelling workshops with business and technical stakeholders.
- Translate ambiguous requirements into clear modelling recommendations.
- Operate autonomously within supplied standards and patterns.
Requirements
- 4-5 years’ enterprise data modelling experience across conceptual, logical and physical models.
- Recent production Databricks experience, including designing and physically implementing Silver and Gold-layer tables.
- Advanced SQL for transformation, profiling, validation, reconciliation and performance tuning.
- Strong dimensional modelling knowledge, including grain, facts, dimensions, keys and slowly changing dimensions.
- Practical experience applying Kimball and/or Data Vault approaches.
- Strong understanding of data integration, data quality, data warehousing and lakehouse architecture.
- Strong stakeholder management and the ability to work independently in a fast-paced environment.
- Utilities or energy-sector experience.
- SAP or enterprise ERP knowledge.
- Python or PySpark experience.
Skills
- Databricks
- SQL
- Kimball
- Data Vault
- Data integration
- Data quality
- Data warehousing
- Lakehouse architecture
- Stakeholder management
- Python
- PySpark
Experience Level
- Senior
Benefits
- Structured development pathways
- Paid certifications
- Weekly knowledge sharing
- A dedicated support lead
- Regular 360° feedback
- Innovation days
- Team events
- Opportunities to shape our growing practice
About the Company
- At Intelligen, we’re building something different. Over the past three years, we’ve evolved from a bold startup to a trusted partner for some of Australia’s most complex data transformations. We’ve helped organizations move from legacy to modern platforms, embedded governance into decision-making, and brought AI into the hands of the business, responsibly and at speed.
- At Intelligen, we care about how we deliver, not just what we deliver. You’ll join a smart, kind and ambitious team where curiosity, ideas and practical impact are valued.