Role
EY-Consulting - Data and Analytics - Semantic Data Architect - / Semantic Data Architect / Knowledge Graph Architect-Manager
The opportunity
Lead the design and implementation of enterprise-scale semantic data platforms that enable advanced analytics, AI, Knowledge Graphs, intelligent data discovery and governed enterprise data modelling. The role combines solid data modelling, semantic architecture, ontology engineering, knowledge graph design, Microsoft Fabric data platform architecture, metadata governance and AI-ready information architecture. The candidate must be able to bridge business concepts, enterprise data assets, semantic models, knowledge graphs, vector search and LLM-enabled retrieval frameworks.
Your key responsibilities
Semantic Architecture Knowledge Modelling
- Develop domain ontologies using RDF/OWL, taxonomies, controlled vocabularies, SKOS concept schemes and semantic models to standardise business knowledge representation.
- Collaborate with Business Analysts, Data Architects, domain SMEs and stakeholders to elicit business concepts,
align semantic definitions and translate requirements into ontology-driven models.
- Establish semantic governance processes, metadata standards, ontology lifecycle management and reusable semantic modelling patterns.
- Define semantic standards that connect business glossaries, domain concepts, enterprise data assets and AI-ready knowledge structures.
Data Modelling Enterprise Information Architecture
- Lead conceptual, logical and physical data modelling across enterprise domains, ensuring data entities, relationships, hierarchies, cardinality, keys, constraints and business definitions are clearly captured and governed.
- Create and maintain enterprise data models, canonical data models, domain models, dimensional models and semantic models that align business terminology with analytical, lakehouse, relational and graph-based data structures.
- Translate business requirements into robust information mod
📌 GDS Consulting (Hyderabad)
🏢 EY
📍 Hyderabad