Job Details

Technical Data Architect (only commercial pharma domain)

  2026-04-16     Chryselys     Santa Rosa,CA  
Description:

Title:Technical Data Architect

Location: Bay Area, CA (Onsite)

Experience: 8+ years

Role Summary

Seeking an experienced Technical Data Architect to lead the design and delivery of cloud-based commercial data lake/ platforms implementation. This role partners closely with Commercial business stakeholders and IT teams to ensure scalable, compliant, and high-quality data solutions supporting pharmaceutical commercial use cases.

Key Responsibilities

  • Own technical architecture and technical design of cloud data lakes/data warehouses using Databricks with Azure or AWS
  • Act as technical product owner for commercial data platforms, managing roadmap and priorities
  • Translate commercial pharma requirements into scalable data solutions
  • lead new innovations and technical POCs
  • Enable analytics and reporting across Sales, Marketing, Market Access, and Commercial Operations
  • Ensure alignment with data governance, security, and compliance standards
  • Manage client relationship
  • Partner with offshore data engineering teams to deliver high-quality data pipelines
  • Participate and drive business development activities

Required Qualifications

  • 8+ years of experience in data architecture, Azure Services, or building enterprise data platforms
  • Strong hands on experience with Databricks + Azure or AWS services
  • Proven experience in data management skills
  • Strong understanding of pharma commercial data domains
  • Strong communication and stakeholder management skills
  • Experience in managing cross -functional teams
  • Have good exposure to business development activities (i.e., creating proposals, SoW, POV etc.)
  • Understand MDM concepts and processes
  • Good exposure on data quality frameworks
  • Experience in designing the data models based on business requirements

Tool/Tech Stack: Azure/AWS Services + Pyspark + CI/CD pipelines, Data Architecture and data management using Databricks

Soft Skills: Stakeholder management, program delivery, presenting POVs to client senior stakeholders, Good communication skills


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