Semantic Data Architect

Title

Semantic Data Architect

Location

PAN India

Exp

7+ Yrs

Job Description

Key Responsibilities

Ontology and Semantic Modelling

Develop enterprise and domain ontologies representing business concepts, entities, relationships, classifications, and business rules.

Knowledge Graph Engineering

Design and implement knowledge graphs using RDF, property graph, or hybrid approaches. Leverage ontologies to build KGs inking diverse data into unified graph model.

Querying and Integrations

Develop SPARQL queries and/or Cypher queries to support graph exploration, analytics, search, and applications. Develop graph data models, ingestion pipelines, transformations, and entity-resolution processes. Load and transform data from relational databases, data lakes, APIs, documents, spreadsheets, and enterprise applications.

AI workflows

Implement semantic reasoning, inference, validation, and graph rules where appropriate. Build prototypes and production-ready graph solutions using platforms such as Stardog, Neo4j, or comparable technologies.

Required Skills

• Atleast 7+ years of experience in Data Engineering including Python and SQL, ETL and ELT pipelines, APIs and data integration, Data Lake and warehouse technologies, Streaming or event-based data integration,
• Experience designing ontologies, taxonomies, controlled vocabularies, semantic models, or knowledge graphs.
• Experience working on projects that involve AI agents or large language models, where ontologies or knowledge graphs were used to improve AI performance
• Practical experience with one or more of the following: RDF, RDFS, OWL, SPARQL, SHACL, SKOS, JSON-LD or Cypher
• Experience with one or more graph or semantic platforms, such as: Stardog, Neo4j, Amazon Neptune, GraphDB, Ontotext or Other RDF or property graph technologies
• Understanding of data modelling principles, including conceptual, logical, physical, and semantic modelling.
• Ability to communicate effectively with both business stakeholders and technical teams.
• Experience documenting models, mappings, architecture, and governance processes.