Principal Enterprise Data Architect
About The Position
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.
Requirements
- Bachelorâs or Masterâs 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
Responsibilities
- 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
Benefits
- competitive base salaries
- highly subsidized Medical, Dental, and Vision Plans
- 401(k) Matching
- Free EV Charging
- Onsite lunches
- Stock options
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Number of Employees
101-250 employees
