Own and support Fabric AI initiatives and enterprise data pipelines at Illumio's Sunnyvale headquarters.
Posted by employer 1 day ago
First seen on Joblaze 15 hours ago
Last verified on the company career page 15 hours ago
Skills & Technologies
What you'll build
Must have
Nice to have
Practical constraints
AI in the day-to-day
Powered by the Illumio AI Security Graph, our breach containment platform identifies and contains threats.
Requirements
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
Quick facts
From the original posting
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.
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.
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.