Principal Data Architect, CMC Digital

Moderna; Norwood (MA); On-site; USD 145,900 - 234,200; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Family planning benefits

Well-being programs

Job summary

Moderna is seeking a Principal Data Architect to design enterprise data architecture that enables real-time, AI-ready data across Manufacturing, Quality, and Supply Chain. You will define integration patterns, data models, metadata standards, and reusable architecture artifacts that unify OT and IT data and govern diverse systems.

You will mentor engineers, codify templates, and guide cloud platform choices, focusing on data governance, vocabularies, and semantic models to support analytics and

Qualifications

• 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 regulated environments such as pharma/manufacturing

Responsibilities

• Define and maintain target-state data architecture across domains with reusable patterns
• Define and implement integration patterns connecting control systems with enterprise data platforms for real-time data flows
• Establish repeatable patterns for ingesting, transforming, and serving data from heterogeneous systems
• Define and enforce data standards, metadata, and lineage
• Design data models and semantic structures for analytics and AI use cases across domains
• Codify architecture patterns as templates and reference implementations
• Develop vocabularies and glossaries for consistent data interpretation
• Inform cloud platform decisions for warehousing, transformation, orchestration, and catalog tooling
• Mentor engineers and data product owners to raise architectural fluency

Skills

Data architecture

ETL patterns

GxP compliance

Education

Bachelor's degree in Computer Science or related field

Master's degree in a related field

Tools

dbt

Redshift

Snowflake

GitHub

Job description

The Role

The Principal Data Architect will design and steward the enterprise data architecture that makes CMC data usable, governable, and AI-ready at scale. This role defines integration patterns, data models, metadata standards, and reusable architecture artifacts that enable consistent, scalable delivery of data products across Manufacturing, Quality, and Supply Chain operations.

A core focus is enabling the integration of real-time data from control systems and automation environments into a unified, event‑driven architecture that bridges OT and IT data, requiring deep understanding of manufacturing and automation processes.

CMC data spans systems with diverse structures, semantics, and quality characteristics. This role brings coherence to that complexity by designing patterns that normalize heterogeneous data into a platform where analysts, engineers, and AI systems can operate with confidence. As a principal‑level contributor, this individual operates with significant autonomy, influences technical direction across CMC Digital, and builds the architectural foundations that enable consistent, reusable, and scalable data and AI capabilities across the enterprise.

Here’s What You’ll Do

• 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

Here’s What You’ll Need (Basic Qualifications)

• 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

Here’s What You’ll Bring to the Table (Preferred Qualifications)

• 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

Pay & 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 salary range for this role is $145,900.00 - $234,200.00. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An individual’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, performance, and business or organizational needs. 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.

Equal Opportunities

Moderna is committed to equal employment opportunity and non‑discrimination for all employees and qualified applicants without regard to a person’s race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law. Moderna is a place where everyone can grow. If you meet the Basic Qualifications for the role and you would be excited to contribute to our mission every day, please apply!

Accommodations

We’re focused on attracting, retaining, developing, and advancing our employees. By cultivating a workplace that values diverse experiences, backgrounds, and ideas, we create an environment where every employee can contribute their best. Moderna is committed to offering reasonable accommodations to qualified job applicants with disabilities. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should contact the Accommodations team at [e-mail].