Senior Data Engineer (Microsoft Fabric & Power BI)

We are seeking a Senior Data Engineer with deep Microsoft Fabric and Power BI expertise to help build and scale a modern enterprise data platform. This role will support operational and financial reporting across multiple business entities, providing leadership with real-time visibility into project performance, financial health, and operational KPIs.

This is a highly visible role focused on enterprise data architecture, pipeline development, semantic modeling, governance, and scalable reporting solutions.

Responsibilities

• Design and manage enterprise data architecture within Microsoft Fabric, including:
• Lakehouses
• Dataflows Gen2
• Data pipelines
• Semantic models
• Governance standards
• Build and maintain scalable ELT pipelines integrating data from:
• IFS Cloud
• Vista
• ComputerEase
• Sage Intacct
• CRM and operational platforms
• Design enterprise data models supporting:
• WIP / Percentage of Completion reporting
• Job costing
• AR aging
• Retainage
• Field service operations
• Multi-entity financial reporting
• Lead Power BI architecture and governance efforts including:
• Semantic layer design
• Row-level security (RLS)
• Dataset certification
• Deployment pipelines
• Workspace administration
• Partner with Finance, Operations, and IT teams to translate business requirements into scalable reporting and analytics solutions.
• Establish data quality, monitoring, testing, and governance standards across the enterprise data platform.
• Mentor analysts and technical team members on Power BI development standards and reporting best practices.
• Support future-state analytics initiatives including predictive analytics, self-service BI, and AI-enabled reporting capabilities.

Do you have experience in Stakeholder management?, * 7+ years of experience in data engineering, data architecture, or senior BI development roles.

• Hands-on experience with Microsoft Fabric including:
• Lakehouses
• Data Factory pipelines
• Dataflows Gen2
• OneLake governance
• Semantic model deployment
• Advanced Power BI experience including:
• DAX
• Composite models
• DirectQuery/import optimization
• Deployment pipelines
• Workspace administration
• Strong experience with enterprise data modeling (dimensional and relational).
• Experience working with ERP and financial systems such as:
• IFS
• Vista
• ComputerEase
• Sage Intacct
• Procore
• Similar enterprise platforms
• Strong SQL and Python skills for data transformation and pipeline development.
• Experience with ETL/ELT and integration tools such as:
• Azure Data Factory
• Fabric pipelines
• Boomi
• Strong communication and stakeholder collaboration skills.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).

Preferred Qualifications

• Experience supporting construction, MEP, field service, or project-based operational environments.
• Experience supporting multi-entity financial reporting.
• Predictive analytics or AI-enabled reporting experience.
• Experience implementing enterprise BI governance standards.
• Experience mentoring analysts or engineering teams.

Pulled from the full job description

• 401(k)
• Health insurance
• 401(k) matching
• Paid time off, * Opportunity to build a modern enterprise data platform from the ground up.
• High visibility and influence across enterprise reporting and analytics strategy.
• Executive sponsorship and long-term investment in data modernization.
• Collaborative environment focused on scalable, data-driven decision making.
• Competitive compensation, 401(k) match, and comprehensive benefits package.

Pay: $115,000.00 - $130,000.00 per year, * 401(k)

• 401(k) matching
• Health insurance
• Paid time off