Principal Engineer 1, Data Platforms (Microsoft Fabric)

Job Duties

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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 metric

Build and maintain the semantic layer (Power BI datasets, gold-layer views, and self-service analytics capabilities) to ensure business consumers get trusted, performant data products

Execute data classification (GxP vs. non-GxP), role-based access control, sensitivity labeling, and audit logging in coordination with IT Security and the Data Governance Lead

Technically scope, sequence, and deliver new source system integrations from discovery through production, managing dependencies and communicating timelines with precision

Establish and enforce platform engineering standards: naming conventions, branching strategies, testing patterns, documentation requirements, and operational runbooks

Other duties as assigned

To succeed in this role, you'll need:

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field with 10+ years experience of progressive experience in data engineering, data platform architecture, or analytics infrastructure roles

Master's degree preferred

An equivalent combination of experience and education may be considered

2+ years technically leading data engineers or analytics engineers in a platform or lakehouse environment

Deep, hands-on expertise with Microsoft Fabric (lakehouses, notebooks, Data Factory, deployment pipelines); equivalent depth in Databricks or Azure Synapse considered with demonstrated willingness to go deep on Fabric

Strong production-level proficiency in PySpark, T-SQL, Python, and modern ELT/ETL design patterns

Proven experience designing and operating medallion-architecture (bronze/silver/gold) or equivalent layered data platforms at enterprise scale

Demonstrated ability to manage external implementation vendors at a technical level - reviewing code, challenging architecture decisions, and holding delivery quality, not just tracking timelines

Experience with DevOps and CI/CD for data platforms (Azure DevOps, GitHub Actions, Fabric deployment pipelines, infrastructure-as-code)

Familiarity with data governance tooling (Microsoft Purview, Unity Catalog, or comparable) and data quality frameworks

Biopharmaceutical, life sciences, or regulated industry experience strongly preferred - including familiarity with GxP data handling, validation requirements, and audit readiness

Experience integrating pharma-specific source systems such as Master Control, Veeva, LIMS, ELN such as Benchling, CTMS, EDC, or HRIS platforms is a significant plus

Exposure to AI/ML workloads on a Lakehouse (feature stores, model training pipelines, vector databases) is a plus

Microsoft Fabric Data Engineering Certificate is a plus

In return, we offer you:

Full and comprehensive benefit program, including an Employee Stock Purchase Program and 401(k) matching.

Opportunities to grow in a culture that prioritizes learning, development and progression through in-house programs and tuition reimbursement.

A collaborative, innovative team that works as one to amplify your impact-on your career, the work you do and patients' lives.

The most likely base pay range for this position is $175K - $185K per year. Several factors, such as experience, tenure, skills, and particular business needs, will determine an individual's exact level of compensation. Base salary is only one element of employee compensation at Halozyme. Total compensation could include bonuses, sales incentives, and equity awards.

Accessibility and Reasonable Accommodations:

Halozyme is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans during our application process. If you need assistance or accommodation due to a disability, contact Human Resources at [email protected].

To view all our open positions, please visit our career page. Additionally, our benefit offerings can be found here.

Halozyme, Inc. is an Equal Employment Opportunity (EEO) employer. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Minimum Education Required

Bachelor Degree

Minimum Experience Required

10 - 20 years

Shift

First (Day)

Number of Openings

1

Public Transportation Accessible

Yes

Veterans Encouraged to Apply

No

Physical Required

Yes

Drug Test Required

Yes

Compensation

$175,000.00 - $185,000.00 / Annually

Postal Code

55343

Job Type

Full Time

Place of Work

On-site

Requisition ID

R0001266

Job Benefits

Not specified