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