Data Engineer Intern
Figma
ETLPythonSQL
Senior Data Architect
GSK
full-time
Posted on:
Location Type: Office
Location: San Francisco • California • 🇺🇸 United States
Visit company websiteSalary
💰 $138,600 - $231,000 per year
Job Level
Senior
Tech Stack
AzureCloudETLGoogle Cloud PlatformNoSQLRDBMS
About the role
- Collaborating with Data Platform Teams, Data Engineers, and Architects to build, maintain and govern data architecture principles, standards, and guidelines
- Producing conceptual, logical, and physical data models to build fit for purpose data products
- Define various data pipeline architecture patterns aligned with DataMesh/Data Fabric architecture on Target platforms
- Partner and work with Data Engineers, Data Testers, Architects, AI/ML Specialists to drive the Data and Analytics strategy
- Building data architecture spanning different business areas and drawing links between problems to build common solutions
- Collaborating with different business areas and stakeholders to ensure consistent implementation of Data Architecture principles/standards across Target platforms
- Designing data architecture aligned with Enterprise-wide standards and principles to promote interoperability
- Adopting a security-first design that embeds robust authentication, hardened infrastructure and resilient connectivity across the Data and data platform environments
- Providing leadership to team members to help others get the job done right
- Supporting engineering teams in the adoption and creation of data Mesh best practices.
- Maintaining best practices for data architecture on our Confluence site.
- Pro-actively engaging in experimentation and innovation to drive relentless improvement
- Providing 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
- 7+ years of experience in data architecture, data engineering, or related fields in pharma, healthcare, or life sciences R&D
- 5+ years’ experience of defining architecture standards, patterns on Big Data platforms
- 5+ years’ experience with data warehouse, data lake, and enterprise big data platforms
- 5+ years’ experience with enterprise cloud data architecture (preferably Azure or GCP) and delivering solutions at scale
- 5+ 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 modelingdata pipeline architecturedata Meshdata Fabricdata warehousedata lakecloud data architectureRDBMSETL
Soft skills
collaborationleadershipcommunicationproblem-solvinginnovationstakeholder engagementteam supportproactive engagementmentorshipinteroperability