Senior Data Architect

Salary: £37,000 - 68,500 per year

Requirements:

• Professional experience within the UK Healthcare or Public Sector.
• Strong technical expertise across data modelling, data analysis, metadata management, data transformation, data migration and master data.
• A proven track record of providing technical leadership across data projects and programmes.
• Experience providing architecture assurance, mentoring and technical standards definition.
• Strong knowledge of recognised data architecture methodologies, patterns and best practices.
• Experience selecting data products and technologies at project or enterprise level.
• Demonstrable ability to engage effectively with both technical and non-technical stakeholders.
• Confidence providing technical thought leadership to clients and internal teams.
• Strong knowledge of at least three mainstream data technologies, together with an understanding of wider developments within the data technology landscape.
• A proactive approach and the ability to operate effectively when requirements, priorities or technical environments are uncertain.
• Previous experience managing, coaching or developing junior data professionals.
• Experience in defining information-handling models across heterogeneous data-storage technologies.
• Capacity planning across complex data environments.
• Establishing and embedding data governance processes and frameworks.
• Designing and implementing data lake architectures.
• Working with solutions built within modern data lake ecosystems.
• Enterprise-level Data Architecture and strategic data planning.
• Experience within highly regulated, complex or large-scale public-sector environments.
• Awareness of modern cloud data platforms and emerging Data & AI technologies.

Responsibilities:

• Lead the design of robust and scalable data architectures across complex transformation programmes.
• Provide specialist guidance across data modelling, data structures, data flows, data sourcing, data transformation, data migration and master data.
• Translate business and technical requirements into practical data architecture solutions.
• Assess existing data environments and identify opportunities for improvement, modernisation and optimisation.
• Provide architecture assurance throughout the project lifecycle, ensuring solutions meet business, technical and regulatory requirements.
• Establish and promote data architecture standards, patterns, methodologies and best practices.
• Support the resolution of complex data definition, ownership, mastering and information-management challenges.
• Contribute to solution-level and enterprise data architecture decisions where required.
• Evaluate and recommend appropriate data technologies and products based on client requirements.
• Work directly with clients to understand their data challenges, requirements and strategic objectives.
• Build effective relationships with technical and non-technical stakeholders, including senior decision-makers.
• Communicate complex data architecture concepts clearly to audiences with different levels of technical expertise.
• Provide independent advice and thought leadership on data architecture, technology and emerging industry practices.
• Facilitate discussions and workshops to help clients establish clear data strategies and architectural direction.
• Act as a trusted advisor, challenging assumptions and helping clients make informed technology decisions.
• Help organisations establish effective data governance frameworks, processes and controls.
• Support the definition of information-handling models across heterogeneous data environments.
• Address data quality, ownership, metadata and master-data challenges.
• Contribute to capacity planning and architectural decision-making across multiple data-storage technologies.
• Help clients develop sustainable approaches to managing data throughout its lifecycle.
• Design and assure solutions across modern data-platform environments.
• Contribute to data lake architecture and solutions operating within data lake ecosystems.
• Assess different approaches to data storage, integration, processing and analytics.
• Maintain awareness of emerging cloud, data platform, analytics and AI technologies and their practical application within enterprise environments.
• Manage, coach and develop a small team of data professionals.
• Support individual performance, career planning and professional development.
• Provide technical leadership and mentoring to junior and experienced members of the wider data community.
• Create an environment that encourages knowledge sharing, collaboration and continuous improvement.
• Help strengthen organisational data architecture capability through the development of standards, reusable approaches and technical expertise.

Technologies:

• AI
• Cloud
• Support
• Architect

More:

We are a leading digital transformation and technology organisation with a strong reputation built through long-term client relationships and repeat business. Our expanding Data & AI capability delivers innovative solutions using modern data technologies to address complex, real-world challenges across the public sector and healthcare. This is a senior hybrid role based in Birmingham, West Midlands, offering the opportunity to combine hands-on data architecture, client consulting, technical leadership and people management while helping shape our growing Data & AI practice.

last updated 39 week of 2026