Reed Technology is delighted to be supporting a leading public sector organisation in the search for an experienced Data Architect to lead the development of its enterprise data architecture capability.

This is a unique opportunity for a hands-on data professional who enjoys shaping strategy while remaining close to the technology. The organisation is at a pivotal stage in its data journey, offering the chance to establish a Data Architecture practice from the ground up and influence how data is managed, governed and leveraged across the business.

Key Responsibilities

• 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.

Essential Skills & Experience

• 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.

What's on Offer?

• Permanent position
• £70,000 - £83,500 / annum (DOE)
• Excellent pension scheme
• 35-hour working week, Monday to Friday (hybrid)
• Flexible working hours with an attractive flexi-time scheme
• Supportive and collaborative working environment
• Rare opportunity to build and establish a Data Architecture function, influencing strategy, governance and technology from the ground up