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.

About the role

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.

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

Requirements

• 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

Benefits

• Competitive base salaries
• Highly subsidized Medical, Dental, and Vision Plans
• 401(k) Matching
• Free EV Charging
• Onsite lunches
• Stock options

Pay

$90,000 - $210,000 a year (approximate, negotiable, and location dependent)