Principal Data Architect: AI-Ready, Real-Time OT/IT

BioSpace; Norwood (MA); On-site; USD 146,000 - 234,000; Full time

Benefits offered by this job

Competitive healthcare

Well‑being resources

Family planning benefits

Generous paid time off

Savings and investments

Location‑specific perks

Job summary

Moderna seeks a Principal Data Architect to design and steward the enterprise data architecture that makes Moderna data usable, governable, and AI-ready at scale. You’ll define integration patterns, data models, and metadata standards across Manufacturing, Quality, and Supply Chain, enabling real-time data from control systems to flow into a unified, event-driven architecture bridging OT and IT.

As a principal-level contributor, you will influence technical direction across Moderna Digital,

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.

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

Data architecture

Data engineering

Enterprise architecture

Integration patterns

Data modeling

Data governance

GxP/compliance

OT/IT integration

AI-ready data architecture

Mentoring engineers

Education

Bachelor's or Master’s degree

Tools

dbt

Redshift

Snowflake

Data catalog tooling

Job description

Moderna seeks a Principal Data Architect to design and steward the enterprise data architecture that makes Moderna data usable, governable, and AI-ready at scale. You’ll define integration patterns, data models, and metadata standards across Manufacturing, Quality, and Supply Chain, enabling real-time data from control systems to flow into a unified, event-driven architecture bridging OT and IT.

As a principal-level contributor, you will influence technical direction across Moderna Digital,