Senior Data Modeller

New Zealand AA (Automobile Association)

Not specified; not specified; free aa membership; ...
Hybrid
Enterprise data modelling experience
Snowflake and dbt platform knowledge
Conceptual logical physical model design
The New Zealand AA is seeking a Senior Data Modeller to define and govern enterprise data models across various business domains. The ideal candidate should have extensive experience in data modelling, particularly with large-scale platforms, and be able to collaborate effectively across teams. The position offers a hybrid working arrangement and several attractive benefits, including a free AA membership and career development opportunities

Job Summary

  • The role involves defining and governing AA's enterprise data models across multiple business domains to form the foundation of a modern data platform.
  • Candidates will own enterprise data modelling standards and patterns while collaborating with Data Engineering and Architecture to ensure correct implementation in Snowflake and dbt.
  • The company offers free AA membership, a birthday day off, hybrid working arrangements, and opportunities for career development within a transforming organization.

Matching Summary

Match Score: 85

The New Zealand AA is seeking a Senior Data Modeller to define and govern enterprise data models across various business domains. The ideal candidate should have extensive experience in data modelling, particularly with large-scale platforms, and be able to collaborate effectively across teams. The position offers a hybrid working arrangement and several attractive benefits, including a free AA membership and career development opportunities.

Salary

Not specified; Not specified; Free AA Membership; Birthday day off; Hybrid working; Training available; Discounted insurance

Skills & Requirements

Must-have

  • Enterprise data modelling experience
  • Snowflake and dbt platform knowledge
  • Conceptual logical physical model design
  • Conformed dimension governance
  • Cross-domain business data abstraction

Nice-to-have

  • Strong stakeholder engagement skills
  • Data quality and lineage practices
  • Modern data platform transformation mindset
  • Ability to translate business concepts

Key Requirements

  • Extensive hands-on experience designing enterprise-scale data structures
  • Proven ability to define and govern conformed dimensions
  • Experience working across complex business domains like insurance or finance

Work Rights

Not specified

Tailored Resume

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