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