Ontology Specialist - Data & AI

Unison Group; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Unison Group in Bengaluru seeks a senior data engineer / ontology architect to lead enterprise ontologies and knowledge graph initiatives across product, engineering, manufacturing, and supply chain. You will drive graph schemas, taxonomies and semantic models tied to lakehouse and BI pipelines.

The role requires deep expertise in RDF/OWL/SPARQL, graph platforms, Python, PySpark and SQL, plus experience with GraphRAG and Azure OpenAI integrations. Collaboration with domain experts is essential.

Qualifications

• 8+ years in data engineering, data architecture or related roles with enterprise ontology/knowledge graph experience.
• Minimum 3 years hands-on ontology, knowledge graph or semantic architecture experience.
• Strong knowledge of RDF/RDFS, OWL, SPARQL, SHACL, SKOS and related ontology modeling tools.

Responsibilities

• Lead the design and implementation of enterprise ontologies and knowledge graphs across business domains.
• Define graph schemas, taxonomies and semantic models aligned with enterprise lakehouse and BI pipelines.
• Integrate structured, semi-structured and unstructured data using Python, Spark/PySpark, SQL.
• Develop graph queries and analytics using SPARQL, Cypher, Gremlin and KQL semantics.
• Integrate knowledge graphs with Azure OpenAI, Copilot and LLM-based platforms.
• Establish ontology lifecycle governance: metadata, lineage, versioning, change control.
• Act as technical authority for ontology, knowledge graph and semantic architecture initiatives.

Skills

Data engineering

Knowledge graph design

Semantic architectures

Python

PySpark

SQL

RDF/RDFS/OWL/SHACL

SPARQL/Cypher/Gremlin

Neo4j/graph platforms

GraphRAG / vector databases

Tools

Protege

Neo4j

Job description

• Lead the design and implementation of enterprise ontologies and knowledge graphs across business domains, including product and engineering, manufacturing, supply chain and operations.
• Define graph schemas, taxonomies, controlled vocabularies and semantic models aligned with the enterprise lakehouse, Power BI, AI/ML pipelines and business applications.
• Integrate structured, semi-structured and unstructured data using Python, Spark/PySpark, SQL and orchestration pipelines; enable entity resolution, relationship extraction and graph enrichment.
• Develop graph queries and analytics using SPARQL, Cypher, Gremlin and KQL graph semantics; optimize indexing, partitioning, caching and query performance.
• Integrate knowledge graphs with Azure OpenAI, Copilot and agentic AI frameworks to support semantic grounding, GraphRAG, hybrid retrieval and explainable AI outcomes.
• Establish ontology lifecycle governance covering semantic consistency, metadata, lineage, stewardship, versioning and change control in partnership with domain experts.
• Act as technical authority and thought partner for ontology, knowledge graph and semantic architecture initiatives.
• 8+ years in Data Engineering, data architecture or related areas, including at least 3 years of hands-on Enterprise Ontology, Knowledge Graph or Semantic Architecture experience.
• Strong expertise in RDF/RDFS, OWL, SPARQL, SHACL and SKOS, with experience using ontology modeling tools such as Protege or equivalent.
• Hands-on experience with Neo4j or similar graph platforms and working knowledge of Cypher, Gremlin, SPARQL and graph performance optimization.
• Practical experience with lakehouse/data lake architectures, Azure data services or Microsoft Fabric, plus Python, PySpark and SQL.
• Experience with GraphRAG, vector databases, hybrid retrieval and integration with Azure OpenAI or other LLM-based platforms.