Product Data Architect - Evinova

AstraZeneca

Hybrid

Quick summary

Work type: Hybrid
Location: Gaithersburg, MD
Salary: $165,656–$217,424 / yr
Posted: 7 days ago
Closes: Jun 30, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $179k

This role $192k

$135k most similar roles pay here $231k

This role pays more than 52% of similar roles. Most pay $144,599–$213,375 — the shaded band above. At the midpoint, this role pays about $192k versus about $179k for comparable roles.

Based on 240 similar postings.

Employer

About AstraZeneca

AstraZeneca is a global biopharmaceutical company focused on the research, development, and commercialization of prescription medicines in oncology, cardiovascular, respiratory, and rare disease areas. Industry: Biopharmaceuticals

AstraZeneca currently has 6 open roles on FindRole.

Listed pay typically runs $165,656–$217,424 across 6 roles with salary data.

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View all roles at AstraZeneca

At a glance

TL;DR · Product Data Architect - Evinova

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As a Product Data Architect at Evinova, you will join a dynamic team focused on advancing digital health solutions within the life sciences sector. Your role involves designing scalable and secure data architectures for AI-powered products like Study Designer and AI Document Authoring, ensuring compliance with regulatory standards such as GxP. You’ll work closely with Product and Engineering teams to define data models, integration patterns, and establish reusable data practices that support long-term growth and innovation in areas like LLMs and RAG pipelines. Key skills include proficiency in Python, SQL, NoSQL databases, ETL processes, and a strong background in data modeling and architecture for complex systems. Experience in the life sciences or clinical trial technology is preferred, as well as familiarity with geographically distributed teams and regulatory compliance practices.

Skills

Python SQL NoSQL ETL Data Modeling AI/ML LLM pipelines RAG architectures Vector databases GxP CSV Data governance Data Owner / Data Steward model CI/CD

What you'll do

Design and evolve data models for AI-native products.
Define scalable data flows, integration patterns, and interfaces across products.
Ensure compliance with regulatory standards in data architecture.
Mentor engineers and set best practices for data architecture.
Promote a strong data quality mindset across teams.
Identify risks and continuously improve data architecture performance.

What we're looking for

Bachelor's degree in Computer Science or related field.
8+ years of experience in data architecture and engineering roles.
Proven experience owning data architecture for complex products.
Strong skills in data modeling, Python, SQL, and NoSQL databases.
Hands-on experience with ETL processes and data pipelines.
Ability to make architectural decisions impacting product development.
Strong collaboration and mentoring skills across Product and Engineering.

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