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- Design conceptual, logical and physical data models
- Develop standardised and consumption-layer data structures
- Define how data should be structured, standardised and surfaced for analytics and downstream use
- Design data flows and integration patterns
- Apply practical data architecture principles across a modern cloud data platform
- Work closely with Data Engineers to ensure designs are understood and implemented effectively
- Produce clear modelling, diagrams and architecture artefacts
- Support data quality, metadata, lineage and governance requirements within solution designs
- Help establish consistent modelling standards and reusable patterns across the platform
What You’ll Be Doing
- Design conceptual, logical and physical data models
- Develop standardised and consumption-layer data structures
- Create dimensional models, including star schemas
- Define how data should be structured, standardised and surfaced for analytics and downstream use
- Design data flows and integration patterns
- Apply practical data architecture principles across a modern cloud data platform
- Work closely with Data Engineers to ensure designs are understood and implemented effectively
- Produce clear modelling, diagrams and architecture artefacts
- Support data quality, metadata, lineage and governance requirements within solution designs
- Help establish consistent modelling standards and reusable patterns across the platform
You’ll ideally bring:
- Strong hands-on experience in data modelling
- Experience designing conceptual, logical and physical models
- Strong dimensional modelling capability, including star schemas
- Experience with modern cloud data platforms
- Good understanding of Databricks and lakehouse architecture
- Experience with Bronze / Silver / Gold or similar layered data architectures
- Strong understanding of data integration and data flows
- Experience working directly with Data Engineers and taking designs through to implementation
- A pragmatic, delivery-focused approach to architecture
- Strong communication and documentation skills
Highly Desirable:
- Azure data platform experience
- dbt
- Delta Lake experience
- Master and reference data modelling
- Metadata, lineage and data quality experience
- Sparx Enterprise Architect or similar modelling tools
- Previous experience across complex customer, digital or media data environments
If you enjoy getting into the detail of the model, working closely with engineers and designing solutions that actually get built, we’d love to hear from you.
Please note, candidates are required to have full NZ working rights and ideally be available immediately or within the next 1-2 weeks.
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