Principal Engineer 1, Data Platforms (Microsoft Fabric) at Halozyme Therapeutics in San Diego, CA
- Company: Halozyme Therapeutics
- Location: San Diego
- Salary: $175K – $185K
- Job type: full time
- Workplace: onsite
- Posted: 2026-10-02
All open roles at Halozyme Therapeutics
Job description
Save time and apply through your LinkedIn account. Click the Apply with LinkedIn button and your LinkedIn profile will be imported into our site. In order to move forward, you will need to create an account. Your password must be eight characters long, contain at least one special character, one capital letter and a number. We look forward to discovering your talents. Welcome to an inspired career. At Halozyme, we are reinventing the patient experience and building the future of drug delivery. We are passionate about the important work we do and constantly strive to do more. We embrace transformation and work hard to innovate for the future. We do this together, as One Team – we rise by lifting others up and believe in the power of working together for the collective win. That’s why we need you—to help us make a significant impact by taking on increasingly complex challenges, leaping beyond the status quo, advancing our mission and making our One Team culture thrive. Join us as a Principal Engineer 1, Data Platforms , and you’ll be part of a culture that welcomes diversity, thinks differently to solve problems, works collaboratively as one team, and delivers meaningful innovations that impact people’s lives. How you will make an impact The Principal Engineer 1, Data Platforms serves as the technical lead accountable for the data platform: architecting the solution, building alongside the team, holding the quality bar, and driving delivery with urgency and accountability. They work directly with business partners across the organization to understand their data needs, translate requirements into platform capabilities, and ensure the UDP delivers real, measurable value to every function it serves, and build the operational foundation that keeps the platform healthy as adoption scales: supporting models, SLA frameworks, and feedback loops that make the platform responsive and reliable. This role helps define and track technical KPIs like pipeline reliability, data freshness, query performance, onboarding velocity, incident resolution and use them to drive continuous improvement. In this role, you’ll have the opportunity to: Serve as the technical lead for Halozyme’s Microsoft Fabric-based data lakehouse — workspace topology, OneLake storage design, medallion-layer standards (bronze/silver/gold), Spark and SQL compute configuration, and CI/CD pipeline design Provide technical leadership and mentorship to data and analytics engineers through code reviews, architectural guidance, and hands-on problem solving — personally contributing code and architectural artifacts alongside the team Design and build production-grade data ingestion pipelines across 50+ source systems (ERP, Veeva, LIMS, ELN, CTMS, HRIS, and others) using Data Factory, dataflows, shortcuts, and mirroring patterns Serve as the hands-on technical counterpart to external implementation partners — reviewing deliverables line by line, enforcing engineering standards, and catching quality issues before they reach production Partner directly with business stakeholders across R&D, Commercial, Manufacturing, Business Development, Supply Chain and Corporate functions to understand data requirements, prioritize platform capabilities, and ensure the UDP delivers actionable value aligned to each function’s strategic needs Design and operationalize the platform support model — including intake workflows, tiered support processes, issue triage, and escalation paths — to ensure the data platform remains responsive, reliable, and well-governed as enterprise adoption scales Help define, instrument, and report on key technical KPIs — pipeline reliability, data freshness, query performance, onboarding velocity, and incident resolution time — to drive continuous improvement and demonstrate platform health to leadership Implement and maintain data quality monitoring, alerting frameworks, incident response procedures, and platform SLAs — owning reliability as a commitment, not just a team
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