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
Moderna Therapeutics is a biotechnology company that develops medicines and vaccines based on messenger RNA (mRNA) technology. It was founded in 2010, and is headquartered in Cambridge, Massachusetts, USA, with a workforce of 1001-5000 employees. Its website is
