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[Remote] Principal Data Architect, CMC Digital
Note: The job is a remote job and is open to candidates in USA. Moderna is a leading company in mRNA technology, dedicated to transforming medicine. They are seeking a Principal Data Architect to design and govern enterprise data architecture, ensuring CMC data is usable, governable, and AI-ready at scale, while enabling integration of real-time data from various systems.
Responsibilities
- Define and maintain the target-state data architecture across CMC domains, designing for composability with shared entities modeled once and domain-specific extensions layered on top
- Define and implement integration patterns that connect control systems and automation environments with enterprise data platforms, enabling real-time, event-driven data flows across OT and IT layers
- Establish repeatable patterns for ingesting, transforming, and serving data from heterogeneous CMC systems
- Define and enforce data standards, including naming conventions, classification, lineage, and metadata, treating metadata as a first-class architectural concern
- Design data models and semantic structures that support both analytics and AI use cases across CMC domains
- Codify architecture patterns as templates, reference implementations, and decision records, enabling teams to build from proven designs rather than starting from scratch
- Develop strategies for controlled vocabularies, business glossaries, and semantic models that make CMC data consistent and navigable across domains
- Inform cloud data platform decisions across warehousing, transformation, orchestration, and catalog tooling to ensure alignment with architectural standards
- Mentor engineers and data product owners, raising architectural fluency and design consistency across the CMC Digital organization
Skills
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
- 7+ years of experience in data architecture, data engineering, or enterprise architecture
- 4+ years of experience supporting pharmaceutical, biotech, manufacturing, or other regulated environments
- Experience integrating data from control systems, automation environments, or real-time operational data sources
- Experience designing data architectures that span operational systems and analytical platforms, connecting source systems to governed, reusable data products
- Integration architecture experience across enterprise systems, including ERP, QMS, MES, LIMS, or equivalent
- Strong understanding of data modeling, both dimensional and entity-relationship approaches, applied to operational and analytical use cases
- Proven ability to produce architecture specifications that engineering teams can implement directly
- Strong understanding of data governance mechanics, including lineage, access control, data classification, and retention
- Understanding of GxP, data integrity, and compliance considerations and how they shape architectural decisions
- Direct experience with Veeva Quality, LabVantage, Syncade, or similar MES and LIMS platforms and their data structures
- Experience with OT/IT integration architecture, including MES, DCS, SCADA, or historian systems in a regulated environment
- Familiarity with manufacturing data standards and how they inform enterprise data architecture decisions
- Experience with SAP data domains and integration patterns for manufacturing and supply chain data
- Hands-on experience with dbt, Redshift, Snowflake, or similar transformation and cloud data warehouse tooling
- Experience with metadata management, data catalog tooling, or business glossary programs at enterprise scale
- Experience designing multi-schema or multi-tenant architectures with fine-grained, policy-driven access control
- Exposure to knowledge graphs, ontologies, or semantic modeling applied to enterprise or scientific data
- Experience with GitHub-based workflows, architecture-as-code practices, or version-controlled specification and pattern management
- Experience with or strong interest in AI-ready data architecture, including how data models, semantic layers, and operational knowledge bases support agentic AI workflows
- Background in GxP validation readiness for data platforms and how architectural decisions affect future compliance posture
Benefits
- Competitive healthcare, plus voluntary benefit programs to support your unique needs
- A holistic approach to well-being, with access to fitness, mindfulness, and mental health support
- Family planning benefits, including fertility, adoption, and surrogacy support
- Generous paid time off, including vacation, volunteer days, sabbatical, global recharge days, and a discretionary year-end shutdown
- Savings and investments to help you plan for the future
- Location-specific perks and extras
- The successful candidate may be eligible for an annual discretionary bonus, other incentive compensation, or equity award, subject to company plan eligibility criteria and individual performance
Company Overview
