Job Description
We Are Teva
Our Team, Your Impact
How You’ll Spend Your Day
Your Skills and Experience
8+ yrs architecture, incl. 4+ in pharma / life sciences
Enterprise data modeling, ontology engineering and semantic modeling
Domain-Driven Design and Data Mesh / Data Fabric at enterprise scale
Databricks (Lakehouse, Unity Catalog, Delta) and Azure
Modeling and semantic tooling (Erwin / dbt; OWL, RDF, SPARQL) and graph platforms
Data governance and catalog tools (Purview, Collibra, Alation); Kafka / API integration
Pharma and architecture standards: CDISC, IDMP, HL7 FHIR, GS1, TOGAF, DAMA-DMBOK
Stakeholder leadership, mentoring and strategic thinking with delivery focus
Also Good to Have
• Experience implementing knowledge graphs for drug discovery, clinical insights, or RWE.
• Experience enabling GenAI / RAG / Agentic AI through semantic layers and ontologies.
• Familiarity with FAIR, Pistoia Alliance, and Allotrope Foundation initiatives.
• Advanced degree in Computer Science, Bioinformatics, Life Sciences, or related field.
Salary Range
How We’ll Take Care of You
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