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Medium — specialized semantic/data platform role at known pharma in metro Hyderabad with moderate applicant density.
Medium — core data architecture skills transferable, but semantic and regulated healthcare experience preferred.
High — explicit 7+ years requirement plus specific semantic, data platform, and security experience required.
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Design and implement the technical architecture for an enterprise Data Context Layer platform enabling standardized data context publishing, discovery, and consumption through self-service.
Develop scalable, secure, and production-ready platform capabilities supporting both human and AI/agentic workflows, including context versioning, access control, validation, and monitoring.
Collaborate cross-functionally to translate architecture principles into practical technical standards, integration designs, APIs, and reference implementations to ensure platform maintainability and interoperability.
7+ years in technical architecture, solution architecture, data architecture, or senior engineering roles.
Hands-on experience with data platforms, APIs, distributed systems, and platform engineering.
Knowledge of ontologies, OWL, RDF, knowledge graphs, semantic layers, and agentic AI concepts including prompt and context engineering.
No relocation, travel, or visa sponsorship; based in Hyderabad as location specifics are implied; other location requirements not explicitly mentioned.
Experienced in building scalable, secure data platforms that serve both applications and AI agents, with strong expertise in semantic technologies and knowledge graphs.
Capable of translating strategic architecture goals into detailed, reusable implementation and integration patterns in a regulated enterprise environment.
Proficient in collaborating with cross-functional teams including product, security, governance, and engineering to deliver production-ready, maintainable data context solutions.