Senior Data Engineer

• 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 work spaces, 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

• 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 role Effective collaboration across distributed teams

Preferred: experience Azure data services, PowerBI, Microsoft AI ecosystem, Dev Ops, APIs, data governance, and AI-ready analytics platforms

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

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

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

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

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