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Sr. Staff Data Engineer

Own and support Fabric AI initiatives and enterprise data pipelines at Illumio's Sunnyvale headquarters.

Location
Sunnyvale, CA, United States
Compensation
Not disclosed
Level
staff
Type
full time · On-site

Posted by employer 1 day ago

First seen on Joblaze 15 hours ago

Last verified on the company career page 15 hours ago

Apply at Illumio → Save job Scanned from illumio.com

Skills & Technologies

What you'll build

  • Own and support Fabric AI initiatives
  • Design, build, test, maintain, and monitor Fabric Data Agents
  • Migrate business dashboards and datasets into governed Fabric and Power BI solutions
  • Administer workspaces, permissions, and deployment processes
  • Partner with business functions on requirements and documentation

Must have

  • 6+ years in data engineering, analytics engineering, BI development, or a related enterprise data role
  • Strong SQL, Python, PySpark experience
  • Experience building and supporting ETL/ELT pipelines
  • Working knowledge of Fabric and Power BI security
  • Strong troubleshooting and data-flow analysis skills

Nice to have

  • Experience with Azure data services
  • Experience with DevOps
  • Experience with APIs
  • Experience with data governance
  • Experience with AI-ready analytics platforms

Practical constraints

  • 4 on-site days a week

AI in the day-to-day

Powered by the Illumio AI Security Graph, our breach containment platform identifies and contains threats.

Requirements

Experience
6+ years

Not disclosed in this posting: compensation, visa sponsorship.

Joblaze summary

The Sr. Staff Data Engineer at Illumio focuses on managing and enhancing data pipelines and analytics solutions, particularly during the transition to Microsoft Fabric and Power BI. Key skills include strong proficiency in SQL, Python, and experience with ETL processes, alongside a solid understanding of data governance and security practices. This role is suited for seasoned professionals with over six years in data engineering or analytics, who can effectively collaborate across teams to translate business needs into robust data solutions. Illumio's IT team emphasizes innovation and operational excellence, supporting a culture of continuous improvement.

Joblaze insights

  • Listed today — first seen on Joblaze October 21, 2026. Last confirmed on Illumio's careers page October 21, 2026.
  • Python appears in 51.9% of 54 comparable staff data engineering roles in United States; PySpark appears in 1.9% of 54 comparable staff data engineering roles in United States.

Quick facts

Is the Sr. Staff Data Engineer role remote?
No — this is an on-site role in Sunnyvale, CA, United States.
How much experience is required?
At least 6 years of relevant experience for this Sr. Staff Data Engineer role.
Where is the role based?
Illumio is hiring for this position in Sunnyvale, CA, United States.
What's the tech stack?
Joblaze extracted these technologies from the posting: Microsoft Fabric, Power BI, PySpark, Python, SQL.
What seniority level is this role?
Illumio targets staff-level candidates for this position.
Is this full-time or contract?
Full-time for this Sr. Staff Data Engineer role at Illumio.

From the original posting

Location: 4 on-site days a week in Sunnyvale, CA Headquarters.

Our Team's Vision:

Our IT team is the trusted technology partner that empowers Illumio to innovate, scale, and lead. We create seamless digital experiences, deliver reliable and secure applications, unlock the value of data, and enable every employee to do their best work from anywhere.

By combining enterprise applications, data and AI services, cloud and infrastructure engineering, cybersecurity, and workplace technologies, we provide the foundation that powers business growth and operational excellence.

We are innovators, builders, and stewards of technology tasked with driving automation, accelerating decision-making, safeguarding critical assets, and continually advancing the capabilities that help Illumio achieve its mission.

Your Impact:

  • Own and support Fabric AI initiatives in support of Organization wide projects using our Fabric Data Warehouse. Own and support enterprise data pipelines, Microsoft Fabric and Power BI solutions, and analytics operations. This role expands engineering capacity during the Domo-to-Fabric PowerBI migration and provides durable production support, data-quality management, report development, governance execution, and business enablement across Finance, Sales, Marketing, Customer Support, Customer Success, and Engineering.

  • Design, build, test, maintain, and monitor Fabric Data Agents supporting business AI initiatives.

  • Design, build, test, deploy, monitor, and support Fabric data pipelines, transformations, semantic models, and Power BI solutions.

  • Triage pipeline failures, report defects, refresh issues, access problems, and data-quality incidents; perform root-cause analysis and maintain runbooks.

  • Migrate business dashboards and datasets into governed Fabric and Power BI solutions.

  • Build reports and validate measures and metrics across connected dashboards and source systems.

  • Administer workspaces, permissions, deployment processes, service principals, monitoring, and lifecycle controls.

  • Partner with business functions on requirements, data mapping, testing, release readiness, documentation, training, and adoption.

  • Contribute to Analytics Center of Excellence standards, reusable patterns, governance, cataloging, and platform planning.

Your Toolkit:

  • 6+ years in data engineering, analytics engineering, BI development, or a related enterprise data role.

  • Strong SQL, Python, PySpark and hands-on experience with Microsoft Fabric and Power BI.Experience building and supporting ETL/ELT pipelines, transformations, validations, semantic models, and production reporting.

  • Working knowledge of Fabric and Power BI security, permissions, workspace design, and deployment practices.

  • Working knowledge of Microsoft AI ecosystem and Fabric Data Agent architecture, design and solutions.

  • Strong troubleshooting, data-flow analysis, documentation, testing, and production-support skills.

  • Ability to translate business requirements into scalable, governed, secure, and supportable analytics solutions.

  • Effective collaboration across distributed teams.

  • Preferred: experience Azure data services, PowerBI, Microsoft AI ecosystem, DevOps, APIs, data governance, and AI-ready analytics platforms.

#LI-PO1 #LI-ONSITE

Our Commitment

Standard company text repeated across Illumio's postings is omitted here.

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