Staff Data Engineer

Role Overview

We are seeking an Analytics Engineer to design build and operate our analytics and automations as well as build of AI-powered automations and copilots using governed enterprise data. This role is responsible for delivering high-quality Power BI reporting establishing and maintaining Microsoft Fabric and/or GCP BigQuery and building business automations and applications using Python Power Automate and Power Apps.

You will be part of the Cloud & Service Management organization helping to evolve our self-service analytics scalable data architecture and automationswhile ensuring security performance and governance across the platform.

This is a hands-on role with ownership of both solution delivery and platform best practices.

Key Responsibilities:

Analytics & Reporting

• Design develop and maintain reports and dashboards
• Build and optimize semantic models using strong dimensional modeling (star schema)
• Write and tune DAX measures with a focus on performance and usability
• Implement Power BI deployment pipelines and promote content across environments

Microsoft Fabric Platform

• Establish and maintain Microsoft Fabric architecture including:
• Lakehouse and/or Warehouse
• Dataflows Gen2
• OneLake data organization
• Manage Fabric capacities workspaces and permissions
• Monitor performance cost and reliability of Fabric workloads
• Develop and maintain Python-based data transformations and notebooks within Fabric
• Use Python for data preparation enrichment validation and advanced analytics
• Define and enforce data modeling and medallion architecture standards

Automation & Applications

• Build and maintain automation flows for business processes approvals and integrations
• Develop Apps to support business workflows
• Work with Dataverse connectors and security roles
• Implement error handling logging and operational support patterns

Platform Governance & Operations

• Define Dev/Test/Prod environment strategy for reporting and automation platform
• Implement Application Life best practices (solutions pipelines source control where applicable)
• Establish governance standards to prevent platform sprawl
• Partner with security and IT teams on access control and compliance
• Provide guidance and enablement to analysts and citizen developers

Collaboration & Leadership

• Translate business requirements into scalable technical solutions
• Act as a subject matter expert for Fabric and Power Platform
• Mentor junior team members and promote best practices
• Contribute to platform roadmap and continuous improvement efforts

Agentic AI & ML Enablement

• Design and deliver agentic AI solutions that automate multi-step business workflows (tool use planning and human-in-the-loop approvals) using enterprise data and governed actions.
• Build RAG (retrieval-augmented generation) patterns over Fabric/OneLake (document ingestion chunking embeddings retrieval evaluation) to power analytics copilots and self-service Q&A.
• Develop and operate ML pipelines (feature engineering training evaluation batch/real-time inference) using Python and approved ML frameworks.
• Establish LLMOps/ModelOps practices: prompt/version control offline evaluation regression testing monitoring (quality drift cost latency) and safe rollback.
• Implement AI security and governance: data access controls prompt/data leakage prevention PII handling model risk reviews and audit logging for agent actions.
• Partner with stakeholders to identify high-value use cases and deliver measurable outcomes (time saved defect reduction SLA improvements).

Required Qualifications

• 5 years of experience in analytics BI or data engineering roles
• 3 years of hands-on Power BI development experience
• Strong experience with Microsoft Fabric (Lakehouse Warehouse Dataflows)
• Proficient in DAX SQL and data modeling

Hands-on experience with:

• Power Automate (cloud flows approvals integrations)
• Power Apps (Canvas apps)
• Dataverse
• Hands-on Python experience delivering ML or GenAI solutions in production (notebooks-to-service APIs scheduled jobs or integrated automations).
• Working knowledge of RAG concepts (embeddings vector search retrieval grounding evaluation).
• Experience implementing monitoring and testing for data/ML/GenAI systems (data quality checks model/prompt evaluation logging/telemetry).
• Experience managing environments security and deployments
• Strong understanding of data governance and analytics best practices

Preferred Qualifications

• Experience designing enterprise-scale analytics platforms
• Familiarity with Azure services (Azure SQL Data Factory Synapse)
• Experience with CI/CD concepts for Power Platform and Power BI
• Power Platform or Microsoft analytics certifications

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