Data Solutions Architect

A great place to work. With great work to do.

Ours is a meaningful and impactful role, as a kaitiaki of the financial services in Aotearoa. We oversee a market that does right by everyone, ensuring better outcomes for all New Zealanders. Our role as a kaitiaki is brought to life by our values; Look to the Horizon, Help the Team Work, Make the Calls and Open Hearts, Open Minds.

**Te Tūranga | The Role**

We are looking for a skilled Data Solutions Architect to join the FMA's Data Engineering team. Reporting into the Manager, Data Engineering, and sitting within the wider Transformation and Operational Delivery function, this role will be responsible for designing and implementing effective data platforms that support the FMA's data driven initiatives. The FMA aims to be an outcomes focused regulator driven by data and intelligence, utilizing digital technology to boost productivity and effectiveness. This role is pivotal in this transformation and achieving ongoing objectives of the FMA. Your work will drive the creation of a single source of truth in data, generate intelligence, support analytics, and implement consistent data governance practices within the data engineering team and the FMA.

This is an exciting opportunity that involves being a key driver of digital transformation within the FMA, shaping the future of financial market supervision and regulation. You will work on innovative projects that enhance New Zealand's financial markets, such as climate disclosure automation and financial scam prevention. Additionally, you will collaborate with international regulators and industry experts to adopt and adapt proven solutions.

**Responsibilities include**:

- Architect the FMAs data platforms and data solutions
- Establishing best data practices, frameworks, and guidelines
- Promoting innovation and collaboration to enhance the FMA's regulatory capabilities
- Using global RegTech and SupTech solutions, tailored for New Zealand's regulatory environment
- Mentoring peers and championing the strategic use of data
- Driving the development of a robust data management framework

**He kōrero mōu | About you**

You will bring with you proven experience in designing and delivering complex modern data solutions using modern data platforms and will possess strong expertise in data technologies, approaches and concepts. You are experienced in identifying business needs and translating them to sustainable data solutions. You are an exceptional communicator with the ability to translate solutions to non-technical audiences. You'll be both a strategic thinker who anticipates challenges and adapts quickly as well as a strong collaborator who builds relationships across teams. Ideally you will come from a financial services or regulatory background however most importantly you will have hands-on experience with programming languages such as Python as well as data query knowledge using TSQL, GraphQL, DAX and SPARQL.

**Ngā painga | What we offer**

We offer some great benefits including a 4% KiwiSaver contribution, health and life insurance cover, paid leave over the Christmas period, a generous $1,500 refer a friend bonus as well as an ability to swap public holiday leave with other days that mean more to you. Additionally, we have exceptional learning and development opportunities including access to leadership development, technical training, and external coaching.

At the FMA we're committed to fostering a diverse and inclusive environment where every individual feels valued, respected, and empowered to bring their authentic self to work each day. We offer a range of wellness and social activities designed to support our people with aspects of their personal and professional lives and genuinely connect with their colleagues.

At FMA, you'll be part of an organization that values and celebrates the diverse backgrounds, cultures, perspectives, and life experiences of our team members.

**Me pēhea te tuku tono | How to apply**
- Reference #
- 17663
- Posted on
- 22 Jan 2025
- Closes on
- 05 Feb 2025 22:00
- Location(s)
- Auckland, Wellington
- Expertise
- Data Analytics, Data Engineering, Information Technology
- Job level(s)
- Experienced
- Work type(s)
- Permanent full-time