SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Illumio is seeking a Senior Staff Data Engineer to lead data initiatives across the organization. This role owns and supports Fabric AI initiatives, enterprise data pipelines, Microsoft Fabric and Power BI solutions, and analytics operations. You will play a critical part in the company-wide migration from Domo to Fabric/Power BI, providing production support, data-quality management, report development, and governance execution across Finance, Sales, Marketing, Customer Support, Customer Success, and Engineering functions.
Key responsibilities include:
- 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, perform root-cause analysis, and maintain runbooks for data incidents
- 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
This role requires strong technical depth in data engineering and analytics, with the scope spanning company-wide data infrastructure and governance. You will work closely with distributed teams and serve as a technical leader in establishing best practices and standards.
REQUIREMENTS:
- 6+ years in data engineering, analytics engineering, BI development, or 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 with Azure data services, PowerBI, Microsoft AI ecosystem, DevOps, APIs, data governance, and AI-ready analytics platforms