Auckland, Auckland, New Zealand · Hybrid
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Auckland, Auckland, New Zealand · Hybrid
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Auckland, Auckland, New Zealand · Hybrid
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Define and govern enterprise data models across multiple business domains to create a scalable foundation for the modern data platform. Establish modelling standards, conformed dimensions, and canonical definitions to ensure a single source of truth across the organization.
Requires a highly experienced data professional with deep expertise in designing large-scale data models within cloud environments like Snowflake and dbt. Must be able to translate complex business requirements into governed technical structures across domains such as insurance and finance.
Working with the AA | Me mahi tahi tatou ki AA
For over 120 years the AA have been helping Kiwis on their adventures! Today, we're one of New Zealand's most respected and trusted brands. From our humble beginnings as a motoring enthusiast's club, the New Zealand AA (Automobile Association) has grown into a large, dynamic organisation offering many services and products to more than a million Members.
And now, we’re building the organisation of the future – more connected, modern, and purpose-driven. We are a business in transformation, with opportunities to work cross-functionally, grow new skills, and make a meaningful impact. We’re investing in our people, platforms, and ways of working to stay ahead of what our Members and customers need.
What You'll Be Doing | Mō te Tūranga
As our Senior Data Modeller, you will define and govern AA’s enterprise data models across multiple business domains, working within the Data Engineering team. Your work will form the foundation of our modern data platform and data warehouse, ensuring data is consistent, trusted, reusable, and scalable across the organisation.
You will take ownership of how data is structured and standardised across the data platform, ensuring consistent and well-defined semantic meaning across domains including membership, motoring, insurance, and finance. Rather than simply producing models, you will define and maintain the modelling standards, patterns, and conformed structures that underpin AA’s data ecosystem, enabling consistent implementation through engineering delivery pipelines.
In this role you will:
Lead the design and governance of conceptual, logical, and physical data models across AA domains, establishing a consistent enterprise data structure.
Own and evolve data modelling standards, patterns, and best practices, ensuring consistency across all domains and delivery teams.
Define and govern conformed dimensions, canonical data definitions, and shared reference data structures that enable a single source of truth.
Collaborate with Data Engineering to ensure models are correctly implemented within Snowflake and dbt-based data pipelines, ensuring alignment between design intent and implementation.
Partner with engineering and business stakeholders to translate business concepts and requirements into clear, governed, and reusable data structures.
Support and embed strong practices around data quality, metadata management, lineage, and model governance, ensuring models remain trusted and well-managed over time.
Act as a trusted authority on data modelling, providing guidance, review, and direction across domains.
About You | Mōu
You are a highly experienced data professional, most likely from a senior data engineering background, with deep expertise in designing and working with large-scale data models in modern cloud environments.
You are motivated by the opportunity to specialise further in data modelling and semantic data design, taking ownership of how enterprise data is structured, standardised, and implemented within production data platforms.
You will bring:
Strong hands-on experience with modern data platforms such as Snowflake and dbt, and an understanding of how modelling decisions translate into robust, production-grade data structures.
Extensive experience designing conceptual, logical, and physical data models within complex, large-scale data environments.
Proven ability to define and govern reusable data models, conformed dimensions, and canonical data structures across multiple business domains.
Experience working across complex enterprise domains such as customer, insurance, finance, or operational data, with the ability to identify and standardise common patterns.
The ability to translate between business concepts and technical data structures with clarity and precision.
Strong stakeholder engagement skills, with the ability to influence data design decisions across Data Engineering and business teams.
A mindset focused on data consistency, reuse, and long-term scalability of enterprise data assets within engineering-led delivery environments.
What We Offer | Ngā āhuatanga kei a mātou
Free AA Membership for you and your whānau
A day off for your birthday
Hybrid working arrangement
Training available / career development
Discounted insurance
Here, we offer a lot more than roadside assistance. We're constantly evolving and advancing into new businesses, offering new challenges and a range of opportunities.
If you’re passionate about data modelling and want a role where your craft truly shapes an organisation’s analytics and digital capability, we want to hear from you. Apply now and help build the foundations of the AA’s next‑generation data platform.
Our teams celebrate diversity and believe that everyone should be able to bring their true selves to work every day. We want you to feel comfortable to be your authentic self throughout the recruitment process, please feel free to let us know if there is anything you need to allow you to participate equitably.
Our recruitment process is people-led and relationship-focused—we do not use AI to screen or assess applications. Every application is reviewed by a real person, because we value potential, individuality, and the human stories behind each candidate.
We are aware that there will be candidates who are interested in the role but may only feel comfortable to apply if they have ticked all the boxes. We want you to know that if you feel like you don't meet all the requirements, please still get in touch. We'd love to korero to see if you might be a great fit for the role.
🚗 Supporting Kiwi journeys for more than 120 years 💼 Come join us and see where a career with the AA will take you!
The New Zealand Automobile Association is also known as the AA. It started over a century ago by people like you. Today, we're one of New Zealand's most respected and trusted brands. We've grown from a fledgling automobile club to one offering many services and products to more than 1.8 million Members. Here, we offer a lot more than roadside assistance. We're constantly evolving and advancing into new businesses, offering challenge and the opportunity to work in a complex business structure. Here, you will open the door to new possibilities and a variety of career paths.
Offices: 20 Viaduct Harbour Avenue, Level 5, Auckland, AUK 1010, NZ
There are currently 265 open technology positions in Auckland, New Zealand listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Deloitte, Rocket Lab, Datacom, Bank of New Zealand, Air New Zealand, among others. Browse the listings above to see every active employer.
Yes — 176 of the 265 open technology positions offer remote or hybrid work (12 remote, 164 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
