Technical Lead, Context Serving, Data context Layer
Core
Design and deliver data and semantic pipelines to populate and maintain an enterprise knowledge graph and context-serving layer, enabling agentic AI capabilities and providing consistent, reusable context across enterprise data products.
Role type
Senior Technical Lead, Data Engineering & Knowledge Graph
Builds
Scalable data pipelines, semantic layers, and knowledge graph infrastructure for enterprise AI and data products
Domain
Healthcare biopharma, Data Engineering, Knowledge Graphs, Semantic Web
Deliverable
production ML models | infrastructure
Required skills
Data engineering, Pipeline architecture, Knowledge graph population, Ontologies (OWL/RDF), Semantic enrichment, Entity resolution, Data quality & validation, Lineage & versioning, Agentic AI concepts, Prompt engineering
Preferred skills
Semantic ETL frameworks, Metadata management, Data virtualization, Batch/streaming integration patterns, Data governance, CI/CD, Observability platforms
Technologies
RDF, OWL, Knowledge graph tools, Timbr-like platforms, Semantic ETL
Responsibilities
Lead technical design and implementation of pipelines for context extraction, transformation, and loading; Define pipeline patterns for ingestion, mapping, entity resolution, and semantic enrichment; Partner with ontology and architecture teams to align outputs with semantic standards; Build scalable processes for knowledge graph population; Establish technical standards for data contracts, lineage, and monitoring; Ensure context pipelines support batch and near-real-time needs; Collaborate to expose context via APIs and agent-ready interfaces; Support operational readiness including observability and deployment automation.
Seniority
Senior, hands-on IC with architectural leadership
