Senior Data Modeller

Overview of AA New Zealand

With a rich history spanning more than 120 years, the New Zealand AA (Automobile Association) has evolved from a motoring club into one of the nation's most respected and trusted brands. Serving over a million members, the organisation offers a variety of services and products, and is currently transforming to become more connected, modern, and purpose-driven. This transformation brings diverse opportunities to collaborate, learn new skills, and make a substantial impact.

Position Summary

The Senior Data Modeller will be responsible for defining and governing enterprise-wide data models across multiple business domains within the Data Engineering team. This role is integral to establishing the backbone of a modern data platform and data warehouse that emphasizes consistency, reliability, reusability, and scalability of data across the company.

Key Duties

• Lead the creation and maintenance of conceptual, logical, and physical data models ensuring uniform enterprise data architecture.
• Develop and uphold data modelling standards, patterns, and best practices to promote uniformity across domains and teams.
• Define and manage conformed dimensions, canonical data definitions, and reference data structures to maintain a unified source of truth.
• Collaborate closely with Data Engineering to translate models into Snowflake and dbt-driven data pipelines, ensuring alignment with intended designs.
• Partner with engineering and business stakeholders to transform business terminology and needs into well-defined, governed, and reusable data structures.
• Champion data quality, metadata stewardship, data lineage, and governance to ensure trustworthiness and long-term resilience of models.
• Serve as a trusted data modelling expert providing strategic advice, reviews, and guidance.

Candidate Profile

The ideal candidate is a seasoned data specialist, likely with a senior background in data engineering, who possesses substantial experience in constructing large-scale data models within cloud environments. A passion for advancing expertise in semantic data modelling and a commitment to owning enterprise data structure and implementation are essential.

Required Expertise

• Hands-on experience with Snowflake and dbt, with a clear understanding of how designs translate into production data systems.
• Proficiency in developing conceptual, logical, and physical data models for complex data ecosystems.
• Skill in establishing reusable data models, conformed dimensions, and canonical structures spanning multiple domains.
• Knowledge of enterprise domains such as customer, insurance, finance, or operations with the ability to unify data patterns.
• Strong capability to interpret and map business concepts into precise technical data models.
• Excellent stakeholder communication, with influence across data engineering and business teams.
• A focus on consistency, reuse, and scalability within engineering-led data delivery workflows.

Benefits

• Complimentary AA Membership for the employee and their family
• A dedicated day off on the employee's birthday
• Flexible hybrid working arrangements
• Access to training programs and opportunities for professional growth
• Discounted insurance offerings

Additional Information

The AA is continually evolving beyond its traditional roadside assistance roots and branching into new businesses. This role offers a chance to influence the analytics and digital capabilities of a future-focused organisation.

The organisation values diversity, encourages authenticity, and is committed to equitable recruitment practices, including personal support during the hiring process.

All applications receive personal review by real individuals without AI screening. Candidates who do not meet every qualification are still encouraged to apply, as potential fit is considered holistically.