Senior Data Architect
Senior Data Architect - 6-Month Contract Location: London, Bristol, or Manchester (2 days per week on-site, flexible)Contract: 6 months, Inside IR35 Role Summary We are seeking an experienced Senior Data Architect to lead the design and delivery of modern data architecture solutions for a large-scale transformation programme. This role involves shaping data strategy, ensuring best practices, and enabling secure, scalable, and interoperable data solutions across complex systems, with a strong focus on AI integration, healthcare data standards, and data transformation initiatives. Key Responsibilities Translate business needs into robust data architecture solutions aligned with organisational priorities and emerging technologies.Provide technical leadership and guidance to other data architects, supporting the development of data dictionaries, governance standards, and reusable patterns.Champion data standards in healthcare, ensuring compliance and interoperability across systems.Collaborate with technical architects and engineering teams to embed data principles into cloud-native and hybrid system designs.Advocate for data as a strategic asset, promoting approaches such as data-as-a-product and enabling secure, lawful, and trusted data sharing.Design and evolve modern data models and metadata frameworks that enable interoperability, scalability, and ethical data sharing across platforms.Drive data transformation initiatives and support the integration of AI-driven solutions into data architecture. Skills & Experience Healthcare data standards and experience with healthcare data transformation projects.Strong understanding of AI technologies and their application in data architecture.Communication skills (data): Ability to manage stakeholder expectations and facilitate complex discussions.Data analysis and synthesis: Skilled in profiling, source system analysis, and presenting insights.Data governance: Experience defining and evolving governance frameworks and assuring data services.Data modelling: Strong understanding of concepts, principles, and industry standards; ability to produce and align models across multiple subject areas.Metadata management: Ability to design and manage metadata repositories and advise on tools and processes.Strategic thinking: Communicate how activities align with strategic goals and deliver value.Problem resolution: Coordinate teams to resolve data-related issues and implement preventative measures. Why Apply? Opportunity to influence data strategy at scaleWork on high-impact healthcare and AI-driven transformation projectsFlexible working arrangements
read more