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 automations—while 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

• 12+ years of experience in analytics, BI, or data engineering roles

• 8+ 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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