GSK

Data Architect II

GSK

full-time

Posted on:

Location Type: Hybrid

Location: Cambridge • California, Massachusetts • 🇺🇸 United States

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Salary

💰 $109,725 - $182,875 per year

Job Level

Mid-LevelSenior

Tech Stack

AzureCloudETLGoogle Cloud PlatformNoSQLRDBMS

About the role

  • Partner with the Scientific Knowledge Engineering team to develop physical data models to build fit-for-purpose data products
  • Design data architecture aligned with enterprise-wide standards to promote interoperability
  • Collaborate with the platform teams and data engineers to maintain architecture principles, standards, and guidelines
  • Design data foundations that support GenAI workflows including RAG (Retrieval-Augmented Generation), vector databases, and embedding pipelines
  • Work across business areas and stakeholders to ensure consistent implementation of architecture standards
  • Lead reviews and maintain architecture documentation and best practices for Onyx and our stakeholders
  • Adopt security-first design with robust authentication and resilient connectivity
  • Provide best practices and leadership, subject matter, and GSK expertise to architecture and engineering teams composed of GSK FTEs, strategic partners, and software vendors.

Requirements

  • Bachelor’s degree in computer science, engineering, Data Science or similar discipline
  • 5+ years of experience in data architecture, data engineering, or related fields in pharma, healthcare, or life sciences R&D.
  • 3+ years’ experience of defining architecture standards, patterns on Big Data platforms
  • 3+ years’ experience with data warehouse, data lake, and enterprise big data platforms
  • 3+ years’ experience with enterprise cloud data architecture (preferably Azure or GCP) and delivering solutions at scale
  • 3+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols)
Benefits
  • health care and other insurance benefits (for employee and family)
  • retirement benefits
  • paid holidays
  • vacation
  • paid caregiver/parental and medical leave

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data architecturedata engineeringdata modelingBig Data platformsdata warehousedata lakeenterprise cloud data architecturerelational databasesNoSQLETL
Soft skills
collaborationleadershipcommunicationsubject matter expertisebest practices