- London, England, United Kingdom
- Hybrid
- Full-time · Senior
- 15+ years
Client-facing Enterprise Data Architects helping clients transform fragmented data estates into AI-ready foundations, advising on architecture decisions across cloud data platforms, lakehouse/warehouse patterns, and GenAI retrieval.
Responsibilities
- Help clients transform fragmented data estates into AI-ready foundations
- Advise on architecture decisions across cloud data platforms, lakehouse and warehouse patterns, data products, semantic layers, metadata, lineage, governance, knowledge graphs and GenAI retrieval patterns
- Diagnose ambiguous client problems, shape options, make trade-offs explicit, and translate complex data architecture issues into clear decisions
- Work in cross-functional teams alongside product owners, data scientists, ML and GenAI engineers, data engineers, business analysts and client stakeholders
- Produce target-state architectures, maturity assessments, platform option appraisals, data product designs, governance models, lineage maps, ontology and semantic models, integration patterns, GenAI data-readiness assessments and implementation roadmaps
Requirements
- Bachelor’s degree or equivalent experience
- Nice to have: Graph modelling
- Nice to have: Ontology standards
- Nice to have: RDF
- Nice to have: OWL