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