Data Architect at University of Auckland

Auckland, Auckland, New Zealand -

Full Time

Start Date

Immediate

Expiry Date

18 Jun, 26

Salary

175000.0

Posted On

20 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Information Architecture, Finance Transformation, Data Modeling, Data Flows, Enterprise Data Principles, Integration Patterns, Chart of Accounts, Data Lineage, Cloud Data Patterns, REST APIs, Event Streaming, Master Data Management, Data Security, Data Privacy, Communication

Industry

Higher Education

Description

Job Description Te Whiwhinga mahi | The opportunity The University of Auckland is delivering a significant Finance Transformation Programme to implement a new Finance ERP and supporting ecosystem. We are seeking a Data Architect (Digital Solutions Architect) to help shape the data and information architecture that will underpin this new environment. Reporting to the Solutions Architecture Manager, you will play a key role in designing data models, data flows and shared standards across the finance landscape, spanning the ERP, adjacent finance systems and analytics platforms. You’ll work collaboratively to ensure alignment with our enterprise data principles, integration patterns and architectural guidelines. Key responsibilities include: Designing the Finance Data & Information Layer, including conceptual and logical models for areas such as Chart of Accounts, Cost Centres, Customers, Suppliers, Projects and Assets. Supporting the definition of key data sources, data ownership and lineage for core finance datasets. Co-designing data flows between the ERP and systems such as Workday HCM, Student Management, banking, procurement and Snowflake. Contributing to data quality and control requirements and providing input into solution design reviews. Working with programme teams on data migration and cutover planning, and creating clear documentation, glossaries and artefacts to support consistent use of finance data. This role offers an opportunity to contribute to a transformative programme and help create a reliable, well-structured and future focused finance data environment for the University. Please note this is a full-time (37.5hours/week) fixed-term (24-month) position, with a salary range of $155,000 - $175,000 per annum depending on skills and experience. For more detailed information, please refer to the Position Description. He kōrero mōu | About you You will have: Proven experience in data architecture or information architecture roles on large-scale ERP or finance transformation programmes, ideally in complex or federated organisations. Strong background in finance domain data such as GL, AP, AR, Fixed Assets, Projects, Procurement and Reporting, with the ability to engage confidently with Finance stakeholders and vendors. Practical experience with cloud data and integration patterns such as REST APIs, event streaming and managed file transfers, and with at least one major ERP or finance platform. Experience designing or governing enterprise data models, master data management approaches and data lineage for core business domains. Understanding of data security, privacy and compliance requirements relevant to financial data, including controls such as RBAC or ABAC, data masking and audit trails. Strong communication skills with the ability to produce clear data models, specifications and documentation and to collaborate effectively across Architecture, IT, Finance and vendor teams. Mō tō mātou rōpū | About the team Rātonga Matihiko | Digital Services is the service division with accountability for agreeing the University’s digital strategy and executing its technology plan. Its responsibilities are broad and its expertise and focus areas span product and service lines from provision of devices, seamless connectivity and collaboration services, supporting learning, teaching, research and administration with software-based solutions, high-performance computing, and supporting new learning and teaching delivery modes. Additional Information Ngā āhuatanga kei a mātou | What we offer The University of Auckland is New Zealand’s leading university and maintains significant computational, laboratory and analytic facilities. Auckland itself is frequently rated as one of the world’s most liveable cities. The University is committed to providing an excellent working environment through: Flexible employment practices (including working from home, flexible hours) Up to 6.75% company superannuation scheme A competitive salary with five weeks’ annual leave In addition, we also offer career development programmes, discounted car parking, a generous parental leave allowance, childcare and a number of other discounts on internal and external services. For more information please visit Staff Benefits. Waipapa Taumata Rau | The University of Auckland The University of Auckland is New Zealand’s leading university. We employ more than 5400 academic and professional staff to support over 41,000 students, making us one of NZ’s largest employers. Me pēhea te tuku tono | How to apply Applications must be submitted online, by the closing date of 5th April 2026 to be considered. Please include your cover letter and your CV highlighting how you can meet the skills and experiences detailed above. Please reach out to Lisa Matthews via [email protected] for a confidential conversation. Please note we are happy to answer your questions, but we do not accept applications by email. Equity The University is committed to meeting its obligations under the Treaty of Waitangi and achieving equity outcomes for staff and students in a safe, inclusive, and equitable environment. For further information on services for Māori, Pacific, women, LGBTQIATakatāpuiMVPFAFF+, people with disabilities, parenting support, flexible work and other personal circumstances go to www.equity.auckland.ac.nz Campus: Newmarket Campus Position Number: 60010493 UoA Department Name: Solution Architecture

Responsibilities

The Data Architect will be responsible for designing the Finance Data & Information Layer, including conceptual and logical models for core financial entities, and co-designing data flows between the ERP and adjacent systems. Key duties also involve defining data sources, ownership, and lineage, while contributing to data quality and migration planning.