Enterprise Data Architect

Job Summary

Required Qualifications

• 5–10+ years in data architecture, enterprise architecture, solution architecture or senior data engineering roles
• Demonstrable experience designing modern data architectures for analytics, AI, ML or GenAI consumption
• Strong understanding of enterprise data architecture patterns, including cloud data platforms, lakehouses, warehouses, data integration, data modelling and metadata management
• Experience contributing to or leading data governance initiatives, including catalogues, lineage, ownership, stewardship, data quality and metadata management
• Practical understanding of semantic layers, ontologies or knowledge graph concepts, with hands-on experience in at least one of these areas
• Deep experience with at least one major cloud data platform, such as AWS, Azure or Google Cloud, and familiarity with leading lakehouse or warehouse technologies
• Understanding of how data architecture decisions affect AI and GenAI outcomes, including data quality, provenance, context, retrieval, security, privacy and semantic consistency
• Familiarity with GenAI data patterns such as retrieval-augmented generation, vector search, embedding pipelines, chunking strategies or enterprise search
• Strong stakeholder management and communication skills, with the ability to present complex technical trade-offs clearly to non-technical sponsors and senior executives
• Bachelor’s degree or equivalent experience; quantitative, technical or analytical disciplines are an advantage
• Willingness to travel, up to around 60% depending on project requirements, across the UK and internationally