Role Overview

The Ontology/Knowledge Graph Engineer designs and implements semantic data models that connect enterprise data using standards like RDF and OWL. The role builds and maintains ontologies, taxonomies, and vocabularies, and writes SPARQL to query, validate, and reason over graph data. It involves operating and optimizing graph databases and integrating relational data via SQL. The engineer leverages tools such as SciBite, TopBraid, and Progress Semaphore for ontology curation and governance, and partners with data engineering teams on platforms like Databricks or Snowflake. Life sciences domain knowledge is a plus to align models with industry ontologies and use cases.

Required Qualifications
Hands-on experience with RDF, OWL, and SPARQL for semantic modeling and querying
Proficiency in SQL for integrating and transforming data from relational sources
Practical experience with graph databases (e.g., Stardog, GraphDB, Amazon Neptune, Blazegraph)
Experience designing ontologies, taxonomies, and controlled vocabularies
Familiarity with ontology and vocabulary management tools (SciBite, TopBraid, Progress Semaphore)
Understanding of data integration/pipelines; exposure to Databricks or Snowflake is a plus




Domain knowledge in Life Sciences is preferred
Robust documentation, collaboration, and version control (e.g., Git) practices

Responsibilities
Design, develop, and maintain ontologies, vocabularies, and knowledge graphs aligned to business concepts
Model entities, relationships, and constraints using RDF/OWL; apply best practices for semantic modeling
Author and optimize SPARQL queries for retrieval, validation, and reasoning use cases
Implement and operate graph databases; tune indexes, inferencing, and performance
Curate and govern vocabularies using tools like SciBite, TopBraid, and Progress Semaphore
Map and integrate relational data to the graph layer using SQL-driven transformations
Collaborate with data engineering teams to build pipelines on platforms such as Databricks or Snowflake
Ensure metadata quality, versioning, and documentation of ontologies and data models
Support domain-specific (e.g., Life Sciences) use cases by aligning with industry ontologies and standards
Work with stakeholders to translate analytical needs into robust semantic/graph solutions

📌 Ontology Engineer / Knowledge Graph Engineer Telangana
🏢 Mobilution It Systems
📍 Telangana