Required skills
Job description
- Enterprise Data Modeling & Ontology Design: Strong expertise in conceptual, logical, canonical, and semantic data modeling. - Data & Analytics Platforms: Hands-on architecture experience with Databricks, Microsoft Fabric, Lakehouse/Data Warehouse architectures - Knowledge Graphs & Semantic Technologies: Understanding of ontologies, taxonomies, RDF, OWL, SP
Project overview
- Enterprise Data Modeling & Ontology Design: Strong expertise in conceptual, logical, canonical, and semantic data modeling.
- Data & Analytics Platforms: Hands-on architecture experience with Databricks, Microsoft Fabric, Lakehouse/Data Warehouse architectures
- Knowledge Graphs & Semantic Technologies: Understanding of ontologies, taxonomies, RDF, OWL, SPARQL, graph databases, and semantic interoperability patterns.
- Metadata, Governance & MDM: Experience with metadata management, business glossaries, master data management (MDM), data lineage, and data governance frameworks.
- Enterprise Integration & Architecture: Ability to design canonical data models and integrate data across Domains, operational systems, and modern data platforms.
- AI & Data Product Enablement: Familiarity with semantic layers, knowledge graphs, GenAI/RAG architectures, and AI-ready data foundations.
- POC
- Ability to conduct a POC contributing Agent Creation/Ontology collection/Analytics/Agent Execution/Traceability Agents pipelines.
Project details
- Start: flexible
- Remote: onsite
- Location: London, United Kingdom, GB
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