Enterprise Data Architect

Enterprise Data Modeling & Ontology Design

• Strong expertise in conceptual, logical, canonical, and semantic data modelling.

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.