Advisor - Data Architect, Data Foundry

Workday Lilly

San Diego, CA, US
Base: $151,500 - $222,200; bonus/equity: compyny b...
Data modeling and ontology engineering
Data platform and lakehouse architecture
Knowledge graph and specialized database systems
Lilly unites caring with discovery to make life better for people around the world and is a global healthcare leader

Job Summary

  • Lilly unites caring with discovery to make life better for people around the world and is a global healthcare leader.
  • This role is foundational to Architecture4Insight, designing data models and platform architectures that enable AI-driven drug discovery.
  • Lilly offers a comprehensive benefits program including 401(k), pension, medical, dental, vision, life insurance, and well-being benefits.

Matching Summary

Lilly unites caring with discovery to make life better for people around the world and is a global healthcare leader.

Salary

Base: $151,500 - $222,200; Bonus/Equity: Company bonus eligibility; Benefits: Comprehensive medical, dental, vision, 401(k), pension, life insurance, and well-being benefits

Skills & Requirements

Must-have

  • Data modeling and ontology engineering
  • Data platform and lakehouse architecture
  • Knowledge graph and specialized database systems
  • FAIR-compliant scientific data frameworks
  • ETL/ELT pipeline development
  • Semantic web technologies implementation
  • Real-time and streaming data integration

Nice-to-have

  • Strong communication skills
  • Familiarity with cloud platforms
  • Pharmaceutical or biotech research experience
  • Experience with LIMS and ELN systems
  • Array database experience for genomics
  • Experience with vector databases for ML/RAG
  • Understanding of scientific data types

Key Requirements

  • M.S. or PhD in related STEM field
  • 6+ years (MS) or 2+ years (PhD) data architecture experience
  • Expertise in relational, graph, document, or columnar databases
  • Experience with Databricks, Snowflake, Spark
  • Experience with Neo4j, Neptune, MongoDB, TileDB
  • Experience with semantic web technologies RDF, OWL, SPARQL
  • Experience with streaming platforms Kafka, Kinesis
  • Pharmaceutical or biotech industry experience

Work Rights

Not specified

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