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AWS Data Architect​/Technical Architect; Life Sciences​/Commercial Operations

Listing for: BrezQ
Full Time position Listed on 2026-11-15
Job specializations:
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR

Job Description & How to Apply Below

Position: AWS Data Architect / Technical Architect (Life Sciences / Commercial Operations)

We're Hiring: AWS Data Architect / Technical Architect (Life Sciences / Commercial Operations)

Location: Alameda, CA (Remote)

Role Type: Full-Time (Preferred)

About the Role

We are seeking an experienced AWS Data Architect with a strong background in Life Sciences, Bio, Pharma, or Clinical domains to lead the design, development, and maintenance of scalable data pipelines and modern analytics solutions. In this role, you will partner closely with business stakeholders, commercial operations, market access teams, data engineers, and CRM groups to enable seamless data integration, automated reporting, and enterprise-grade insights for commercialization and patient/market data platforms.

What We're Looking For
  • 12+ Years in overall IT, with 7+ years dedicated to Data Engineering & Analytics.
  • Domain Expertise: Strong functional knowledge of Market Access or Commercial Operations within the Life Sciences, Biotech, Pharma, or Clinical domains (e.g., drug commercialization, payer analytics, patient access, gross-to-net, or specialty pharmacy data).
  • 5+ Years of hands-on AWS Data Architecture experience (S3, Glue, Redshift, Lambda, EMR, Lake Formation, RDS).
  • 3+ Years in a Lead / Technical Architect capacity guiding cross-functional teams and setting architectural standards.
  • 3+ Years designing real-time and batch processing data pipelines with CI/CD integration.
  • Integration & Analytics: Hands-on expertise with Salesforce integrations (Salesforce Health/Sales/Service Cloud) and Tableau visualization.
  • Compliance & Governance: Deep understanding of data governance, compliance standards (HIPAA, GxP, FDA data integrity guidelines), and client-facing leadership.
Key Responsibilities
  • Architect & Design: Lead end-to-end cloud-native data architecture, enterprise data platform implementation, and data modeling tailored to Life Sciences commercial operations and market access workflows.
  • Pipeline Engineering: Design and build resilient batch and real-time streaming architectures (Kafka, Kinesis) to ingest high-volume clinical, market access, and commercial datasets.
  • Domain & Cross-Functional Integration: Integrate CRM systems (Salesforce Sales/Service/Health Cloud) and third-party pharma/clinical data feeds with AWS data platforms using APIs, middleware, and native connectors.
  • Technical Leadership: Guide data engineering teams, establish domain-specific design standards, conduct code reviews, and mentor engineers.
  • Analytics & Visualization: Oversee Tableau dashboard development for market access metrics, commercial sales performance, and operational KPIs, ensuring proper data modeling and query performance tuning.
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