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Niche semantic/knowledge-graph skills and senior level reduce candidate pool despite Amgen Hyderabad location.
Strong pharma ontology and reference-data expertise makes cross-industry transfer limited.
Mandatory 8–12 years and specialized semantic/knowledge-graph and pharma ontology expertise enforce strict filtering.
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Design, build, maintain, and govern enterprise ontologies, taxonomies, and semantic reference data models to support analytics and data governance.
Collaborate with business SMEs, data architects, and governance teams to create vocabularies, semantic standards, and optimize semantic data integration workflows.
Lead ontology lifecycle activities, develop semantic frameworks with RDF/OWL/SKOS, troubleshoot data mapping issues, and mentor junior engineers on semantic technologies.
8-12 years experience in Reference Data Engineering, Semantic Technologies, or Knowledge Graph implementations.
Master's degree with 7-10 years experience OR Bachelor's degree with 8-12 years experience in Business, Engineering, IT or related field.
Proficiency with Semantic Web technologies (RDF, OWL, SKOS, SPARQL, SHACL) and hands-on experience with semantic platforms such as GraphDB, TopBraid EDG, or MarkLogic.
Strong domain knowledge in Pharma ontologies (e.g., CDISC, MedDRA, SNOMED CT) and experience with cloud engineering platforms like AWS and data platforms like Databricks.
Experienced in managing enterprise semantic data models and reference data governance in highly regulated Pharma environments.
Skilled at cross-team collaboration and stakeholder engagement to formalize vocabularies and semantic data standards.
Demonstrates strong technical leadership in semantic web technologies and practical integration of Pharma taxonomies into enterprise systems.