Senior Staff Data Engineer

Illumio; Sunnyvale (CA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Health and Dependent Savings Accounts

Life and Disability Programs

Paid Parental Leave

Voluntary Benefit Programs

Company Sponsored Wellness Program

Wellness Reimbursement Program

Retirement Savings

Equity Opportunities

Paid time off and Paid Holidays

Employee Incentive Program

Medical, Dental, Vision Coverage

Job summary

Illumio in Sunnyvale, CA seeks a senior data/analytics engineer to own Fabric AI initiatives, manage the Fabric Data Warehouse, and lead enterprise data pipelines and Power BI solutions. You will expand engineering capacity during migration and provide durable production support.

This role focuses on data quality, governance, and cross-functional analytics enablement across Finance, Sales, Marketing, Customer Support, Customer Success, and Engineering.

Qualifications

• 6+ years in data engineering or analytics engineering.
• Experience with Azure data services, Power BI, and Fabric ecosystem.
• Strong SQL, Python, PySpark; capable of production-support.

Responsibilities

• Own and support Fabric AI initiatives across organization projects.
• Manage Fabric Data Warehouse, pipelines, and Power BI solutions.
• Provide production support, data quality management, and governance.
• Migrate dashboards and datasets to governed Fabric and Power BI.
• Design, build, test, deploy, monitor Fabric data pipelines and agents.
• Triage failures, perform root-cause analysis, maintain runbooks.
• Partner with business functions on requirements, data mapping, testing, and adoption.
• Contribute to Analytics Center of Excellence standards, patterns, and cataloging.

Skills

Data engineering

Analytics engineering

BI development

SQL

Python

PySpark

Production support

Data governance

Cross-functional collaboration

Tools

Power BI

Microsoft Fabric

Azure data services

Fabric Data Agent

APIs

DevOps

Job description

• 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

Benefits

• Health and Dependent Savings Accounts
• Life and Disability Programs
• Paid Parental Leave
• Voluntary Benefit Programs
• Company Sponsored Wellness Program
• Wellness Reimbursement Program
• Retirement Savings
• Equity Opportunities
• Paid time off and Paid Holidays
• Employee Incentive Program
• Medical, Dental, Vision Coverage

6+ years in data engineering, analytics engineering, BI development, or a related enterprise data roleEffective collaboration across distributed teamsPreferred: experience Azure data services, PowerBI, Microsoft AI ecosystem, DevOps, APIs, data governance, and AI-ready analytics platformsWorking knowledge of Fabric and Power BI security, permissions, workspace design, and deployment practicesStrong troubleshooting, data-flow analysis, documentation, testing, and production-support skillsStrong 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 reportingAbility to translate business requirements into scalable, governed, secure, and supportable analytics solutionsWorking knowledge of Microsoft AI ecosystem and Fabric Data Agent architecture, design and solutions