Senior Data Architect

Key Responsibilities

• Define and evolve the enterprise data architecture and target-state roadmap.
• Develop conceptual, logical and physical data architectures and models.
• Establish clear links between business objectives, information requirements, data assets and technology solutions.
• Provide architectural leadership across data governance, data quality, metadata and information management.
• Define data architecture principles, standards, reference models and reusable patterns.
• Work closely with Data Engineering teams on the design and evolution of enterprise data platforms.
• Support data integration and interoperability across multiple systems and domains.
• Develop approaches to data cataloguing, classification, lineage and metadata management.
• Support modern data architecture patterns including data products, data mesh, data fabric and cloud-based data platforms.
• Ensure enterprise data is appropriately governed and prepared for AI, Machine Learning and advanced analytics use cases.
• Produce and maintain enterprise architecture artefacts and contribute to architecture governance and design authorities.
• Facilitate architecture workshops and engage confidently with senior business, technical and operational stakeholders.

Essential Experience

• We are particularly interested in candidates with strong experience across several of the following areas:
• Enterprise Data Architecture
• Enterprise Architecture
• Data modelling - conceptual, logical and physical
• Data governance and information management
• Metadata management and data catalogues
• Data quality and Master Data Management
• Data platform and data warehouse architecture
• Data integration and interoperability
• Cloud-based data architectures
• Architecture governance and standards
• Data architecture supporting AI / Machine Learning / advanced analytics
• Architecture repositories and modelling tools
• You should be comfortable operating at both strategic and technical levels - able to establish enterprise architecture direction while retaining sufficient technical depth to work effectively with engineers, platform specialists and delivery teams.

Architecture Experience

• Experience with some of the following would be highly beneficial:
• TOGAF
• ArchiMate
• Sparx Enterprise Architect
• NAF / MODAF / NATO architecture frameworks
• UML / BPMN
• Azure, AWS or Google Cloud
• Agile delivery environments

Background

• You will ideally bring significant experience working as an Enterprise Data Architect, Data Architect, Solution Architect or Enterprise Architect with a strong data specialism.
• Experience within Central Government, Defence, military, national security or another complex highly regulated environment would be particularly valuable.
• We are looking for someone who combines strong technical credibility with excellent stakeholder skills - someone capable of understanding the wider enterprise, challenging existing approaches and providing clear architectural direction across complex data programmes.