$145,900 – $234,200
Listed on Moderna’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This Principal Data Architect role at Moderna involves designing enterprise-scale data architectures that unify manufacturing, quality, and supply chain data while bridging operational technology and IT systems. The position suits experienced data architects with deep knowledge of regulated manufacturing environments who can establish governance standards, mentor teams, and create reusable architectural patterns that enable AI-ready data products.
Our summary, not Moderna’s wording. The full posting is on their site.
Skills this role names
- Amazon Redshift
- Data Architecture
- Data Governance
- Data Modeling
- Dialectical Behavior Therapy (DBT)
- Enterprise Resource Planning (ERP)
- GitHub
- Metadata Management
- SAP
- Snowflake
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What they ask for
Required
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field
- 7+ years of data architecture, data engineering, or enterprise architecture experience
- 4+ years of experience in pharmaceutical, biotech, manufacturing, or regulated environments
- Experience integrating data from control systems, automation environments, or real-time operational data sources
- Experience designing architectures spanning operational systems and analytical platforms
- Integration architecture experience with ERP, QMS, MES, LIMS, or equivalent systems
- Proficiency in data modeling approaches for operational and analytical use cases
- Ability to produce architecture specifications for engineering implementation
- Strong understanding of data governance including lineage, access control, classification, and retention
- Knowledge of GxP, data integrity, and compliance considerations
Nice to have
- Direct experience with Veeva Quality, LabVantage, Syncade, or similar MES and LIMS platforms
- OT/IT integration architecture experience including MES, DCS, SCADA, or historian systems in regulated environments
- Familiarity with manufacturing data standards
- Experience with SAP data domains for manufacturing and supply chain
- Hands-on experience with dbt, Redshift, or Snowflake
- Enterprise-scale metadata management or data catalog experience
- Multi-schema or multi-tenant architecture design with fine-grained access control
- Knowledge of knowledge graphs, ontologies, or semantic modeling
- GitHub-based workflows or architecture-as-code practices
- Experience with AI-ready data architecture and agentic AI workflows
- Background in GxP validation readiness for data platforms