Ontology Specialist - Data And AI

Unison Group; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Unison Group is seeking a senior specialist to lead enterprise ontology and knowledge graph initiatives. You will design schemas, taxonomies, and semantic models across product and engineering domains, and integrate data with Python, Spark/PySpark and SQL.

You will optimize graph queries and support AI-driven frameworks, while governing ontology lifecycle. The role requires deep expertise in RDF/OWL, SPARQL, SHACL, SKOS, and hands‑on experience with graph platforms like Neo4j, plus cloud data

Qualifications

• 8+ years in Data Engineering or data architecture with domain experience.
• 3+ years hands‑on Enterprise Ontology, Knowledge Graph or Semantic Architecture.

Responsibilities

• Lead design and implement enterprise ontologies and knowledge graphs across domains.
• Define graph schemas, taxonomies and semantic models aligned with enterprise needs.
• Integrate diverse data using Python, Spark/PySpark, SQL and orchestration pipelines.
• Develop graph queries with SPARQL, Cypher, Gremlin and optimize performance.
• Integrate graphs with Azure OpenAI, Copilot and AI frameworks.
• Govern ontology lifecycle including metadata, lineage and change control.

Skills

Enterprise Ontology

Knowledge Graph Architecture

Semantic Modeling

Data Engineering

Tools

Protege

Neo4j

Cypher

Gremlin

SPARQL

Spark/PySpark

Python

Azure Data Services

Microsoft Fabric

Job description

Job Description:

• Lead the design and implementation of enterprise ontologies and knowledge graphs across Timken 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 Timkens 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.

Requirements: