IT Architecture Associate

About Teva

Role Overview

How You’ll Spend Your Day

• Own conceptual, logical, and physical data models and canonical entities such as Product, Molecule, Study, Patient, Site, Batch, Customer, and HCP.
• Harmonize master and reference data across business units and eliminate silos, duplication, and divergent standards.
• Embed IDMP, CDISC, HL7 FHIR, ISA-95, GS1, and Allotrope standards into the architecture.
• Define bounded contexts, domain ownership, data products, and contracts for the domain and data mesh operating model.
• Encode models, metadata, lineage, and catalog standards into Databricks Lakehouse, Unity Catalog, and the Enterprise Data Marketplace.
• Deliver governed and discoverable data products for analytics, AI/ML, and GenAI workloads.
• Establish architectural guardrails, modeling standards, review boards, and compliance with GxP, GDPR, HIPAA, and 21 CFR Part 11.
• Advise business and IT leaders on data strategy and transformation roadmaps and mentor technical staff.

Skills and Experience

• At least 8 years of architecture experience, including at least 4 years in pharmaceuticals or life sciences.
• Enterprise data modeling, ontology engineering, and semantic modeling experience.
• Domain-Driven Design and Data Mesh or Data Fabric experience at enterprise scale.
• Databricks Lakehouse, Unity Catalog, Delta, and Azure experience.
• Experience with Erwin or dbt, OWL, RDF, SPARQL, and graph platforms.
• Data governance and catalog tools such as Purview, Collibra, or Alation, plus Kafka or API integration.
• Knowledge of CDISC, IDMP, HL7 FHIR, GS1, TOGAF, and DAMA-DMBOK standards.
• Stakeholder leadership, mentoring, strategic thinking, and delivery focus.

Additional Qualifications

• Knowledge-graph implementation for drug discovery, clinical insights, or real-world evidence is beneficial.
• Experience enabling GenAI, RAG, or agentic AI through semantic layers and ontologies is beneficial.
• Familiarity with FAIR, Pistoia Alliance, and Allotrope Foundation initiatives is beneficial.
• An advanced degree in computer science, bioinformatics, life sciences, or a related field is beneficial.

How Teva Supports Employees

• Teva describes annual leave, reward plans, flexible working schedules dependent on the role, health support, and opportunities to contribute to the community.
• The Twist career platform provides learning programs, short-term projects, and internal growth opportunities.