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# Data Architect

- **Company:** Reed
- **Location:** Midlothian, UK
- **Salary:** £70,000.0 - £83,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Data Architecture, Data Governance, Data Systems, Interoperability, Microsoft Data Access Components, Meta-Data Management, Data Streaming, Data Strategy, Microsoft Fabric, Data Management, Data Pipelines
- **Published:** October 27, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5942535855

## About the Role

* Proven experience in a Data Architect or similar position, defining, implementing and evolving enterprise data architecture frameworks.
 * Extensive experience designing data models from scratch across complex environments.
 * Strong knowledge of the Microsoft data ecosystem, including Azure and Microsoft Fabric.
 * Hands-on technical capability, with experience building data pipelines, developing proof-of-concepts and working closely with engineering teams.
 * Strong understanding of metadata management, data governance and emerging AI-driven data capabilities.
 * Ability to communicate effectively with both technical and non-technical stakeholders.
 * Experience operating within complex or highly regulated environments would be advantageous.

## Description

* Assess the organisation's current data landscape, identifying gaps, challenges and opportunities within a fragmented environment.
 * Develop a clear and scalable data architecture roadmap aligned to organisational priorities and future business needs.
 * Create and maintain enterprise, domain, conceptual, logical and physical data models to provide a consistent and shared view of data across the organisation.
 * Work closely with business stakeholders to understand data requirements, map data flows and design effective data solutions.
 * Define data architecture standards, principles and best practices to promote consistency, quality and reuse.
 * Design approaches that improve data interoperability, integration and governance across multiple systems and services.
 * Support the adoption of modern data technologies and contribute to the organisation's long-term data strategy.
 * Collaborate with Data Engineers, Analysts and technical teams, providing hands-on guidance and technical leadership where required.