Data Architect/ Data Modeller

Role: Data Architect
Location: Remote (Occasional travel to Leeds & Newcastle)
Rate: £550/ Day Inside IR35
Duration 6 Months initial engagement
Clearance: SC Clearance Essential (Applications without Active SC will not be considered)
We are looking for an experienced Data Architect/Data Modeller to contribute to the successful delivery of an exciting new programme for our client. In this role, you will take responsibility for the end-to-end data architecture across domains and microservices, ensuring strong data integrity, effective governance, and high usability of the platform's data assets.
Key Responsibilities

• Take ownership of the overarching data landscape across all domains and microservices within the PIP New Service.
• Maintain, refine, and evolve the platform's Conceptual and Logical Data Models.
• Work closely with development teams, offering guidance to ensure physical data implementations remain aligned with the agreed logical model and preserve defined relationships.
• Manage and update the Physical Data Schema and detailed Data Dictionary (currently held in Excel), becoming the subject matter expert for this dataset.
• Support operational analytics needs by collaborating with Data Performance Analysts and analytics teams responsible for MI/BI/ONS outputs.
• Contribute to central DWP Data Governance initiatives, including:

• Introduction of Data Steward and Data Custodian roles
• Deployment of formal Data Catalogue tooling
• Enhanced data governance practices for development teams

Skills & Experience

• Extensive experience in Data Modelling across Conceptual, Logical, and Physical levels.
• Hands-on experience with data modelling tools (currently using Lucid, with possible future adoption of Erwin).
• Strong client-facing background with the ability to advise and guide development teams.
• Knowledge of MongoDB and JSON-based data structures.
• Ability to inspect and analyse data using SQL or Python within Databricks.
• Experience with Data Catalogue solutions (Axon exposure is advantageous).
• Solid understanding of data governance and data stewardship principles.

Interested? Apply now and we will get in touch as soon as possible.

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