AstraZeneca
Product Data Architect - Evinova
$166K–$217K
US - Gaithersburg - MD · Full-time · Posted Oct 22, 2026
- Experience
- 8+ years in data architecture, data engineering, or platform architecture roles.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Information Science, or a related field.
About the job
Designs scalable, compliant data architecture for Evinova’s AI-powered clinical-trial products, partnering with Product and Engineering teams to support data models, integrations, and AI capabilities.
What you'll do
- Design data models, data flows, integration patterns, and architectures for AI, LLM, and RAG-powered products.
- Promote data quality, interoperability, governance, regulatory compliance, and system performance; define metrics and dashboards.
- Partner with Product and Engineering, guide implementation, and mentor engineers on data architecture practices.
What they ask for
- Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Information Science, or a related field.
- 8+ years of experience in data architecture, data engineering, or platform architecture roles.
- Proven experience owning data architecture for complex products or product suites; strong data modeling and design experience.
- Proficiency in Python; experience with SQL and NoSQL databases and hands-on ETL processes and data pipelines.
Nice to have
- Experience architecting AI/ML product data layers, especially LLM pipelines, RAG architectures, vector databases, or embedding strategies.
- Familiarity with GxP software validation, computerised system validation (CSV), or regulated-industry quality practices.
Pay
$165,656.80 - $217,424.55 USD (base salary)
Tools
Python, SQL, NoSQL, ETL, LLMs, RAG, vector databases
AI focus
Build and guide data architectures and pipelines supporting LLMs, generative AI, and RAG capabilities in regulated products.
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