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