Principal Enterprise Data Architect

Cellares is building a next-generation Integrated Digital Manufacturing Operations (IDMO) platform to enable scalable, GMP-compliant cell therapy manufacturing. As part of this transformation, we are establishing a modern enterprise data foundation powered by Databricks to unify data across engineering, manufacturing, quality, supply chain, finance and commercial systems.

We are seeking a Principal Enterprise Data Architect, a highly hands-on individual contributor who will design, build, and operationalize our enterprise data platform from the ground up.

This is a multidisciplinary role and this individual will play a critical role in enabling real-time decision-making, data governance, and AI readiness across the enterprise. This role is a startup-style builder (90% hands-on) and will evolve into a foundational leader for scaling data capabilities, including alignment with our Global Capability Center (GCC).

Candidates should enjoy working in a fast-paced, mission-driven environment, and be prepared to tackle a broad selection of challenges as the company grows.

Architect and implement Databricks Lakehouse architecture

Build end-to-end ETL/ELT pipelines

Define canonical data models and scalable patterns

Integrate SAP S/4HANA, Tulip MES, LabVantage LIMS, Salesforce, and engineering systems

Align with API-first/event-driven architecture (MuleSoft / Workato)

Define data glossary, lineage, and quality frameworks

Implement Unity Catalog and governance aligned to GMP/21 CFR Part 11

Prepare datasets for analytics and AI/ML use cases

Support structured and unstructured data processing

Evaluate and implement BI tools (Sigma, Looker, Tableau)

Enable self-service analytics with governance

Build pipelines using Python, SQL, Spark

Establish reusable frameworks

Partner with engineering, manufacturing, quality, finance and software teams

Translate business needs into data solutions

Bachelor’s or Master’s degree in Engineering, Life Sciences, Information Systems, or related field

10+ years in data architecture/data engineering

Strong Databricks/Spark experience

Experience building data platforms from scratch

Integration with ERP/MES/LIMS/CRM systems

Azure cloud experience

Self-awareness, integrity, authenticity, and a growth/entrepreneurial mindset