Fabric Data Engineer — Workplace Engineering
Core
Design and implement scalable data products in Microsoft Fabric (OneLake, Lakehouses, Warehouses, pipelines) to power Workplace AI, Power BI, and cross-cloud analytics estates.
Role type
Senior IC Fabric Data Engineer
Builds
Production data layer including lakehouses, warehouses, real-time intelligence solutions, and AI-ready data products for downstream agents and BI consumers.
Domain
Financial services / Enterprise Data & Analytics / Microsoft Cloud Stack
Deliverable
production ML models | product features | infrastructure
Required skills
Microsoft Fabric (Lakehouse, Warehouse, Pipelines, Notebooks, Real-Time Intelligence), SQL, PySpark, KQL, CI/CD for data platforms, Terraform, Entra ID/Okta federation, Microsoft Purview, RBAC/RLS/CLS/OLS, AWS S3 integration, Spark structured streaming
Preferred skills
DP-700 certification, DP-600 certification, AZ-305 certification, Fabric-cicd Python library, microsoft/fabric Terraform provider, Power BI CoE experience, cross-cloud BCDR patterns
Technologies
Microsoft Fabric, OneLake, Delta, Azure Synapse, Azure Data Factory, Databricks, Power BI, AWS S3, Snowflake, SQL Server, Cosmos, Azure DevOps, GitHub, Terraform, Entra ID, Okta, Microsoft Purview, Sentinel
Responsibilities
Design and implement scalable data storage in OneLake using Lakehouses and Warehouses; Build and maintain Spark notebooks, Data Factory pipelines, and Real-Time Intelligence solutions; Implement source control, branching, and CI/CD using native Fabric Git integration; Operate the Fabric F256 capacity and build telemetry using Monitoring Hub; Define and enforce Fabric platform standards through Terraform-based IaC; Serve as Tier 3 escalation for complex Fabric and pipeline issues; Lead proof-of-concept work for new Fabric capabilities.
Seniority
Senior, hands-on IC
