Data Architect

Data Architect

Hybrid: 1-2 days per week in the office (North West) 6-month Fixed Term Contract

Experis are delighted to be partnering with a large, well-established organisation as they continue to evolve and modernise their enterprise data landscape. We are supporting them in the search for an experienced Data Architect to join their Group Data & Analytics function on an initial 6-month FTC.

This role plays a critical part in shaping how data is structured, modelled and connected across the organisation. You'll provide the data-centric architectural direction that underpins high-quality engineering delivery, supports governance, and enables data to be used effectively and consistently across the business.

What You'll Be Doing

• Defining principles, standards and patterns for how data is structured, modelled and connected.
• Shaping and maintaining the roadmap for a future-state enterprise data platform. Evaluating and guiding the adoption of modern data architectures (e.g. lakehouse, mesh, fabric).
• Providing data-focused architectural leadership across programmes, projects and delivery squads.
• Defining and maintaining conceptual, logical and physical data models. Reviewing engineering designs to ensure alignment with agreed data standards and best practice.
• Working closely with Data Engineering, Governance and Technology Architecture teams on data-related decisions.
• Acting as a senior advisor on data architecture, modelling and platform design across the organisation.

Experience Required

• Proven experience in enterprise-scale data architecture and data modelling roles. Strong understanding of modern cloud-based data platforms and services.
• Solid knowledge of data integration, transformation and modelling patterns. Experience defining future-state data platform strategies within cloud environments (Azure, AWS, Snowflake or similar).
• Understanding of modern data concepts such as data products and "data as a product".
• Ability to influence senior stakeholders and collaborate effectively with technology architects.
• Familiarity with contemporary data engineering tooling (e.g. Snowflake-centric stacks, DBT, Airflow, Fivetran).

If you'd like to learn more, please contact Jacob Ferdinand at