Fabric and Data Engineer
Core
Design, implement, and support enterprise data solutions using Microsoft Fabric and Azure technologies to build secure, scalable, automated, and highly reliable data platforms supporting analytics, reporting, and AI initiatives.
Role type
Microsoft Fabric and Azure data platform engineer
Builds
Lakehouses, Warehouses, data pipelines, notebooks, and data transformation processes
Domain
Financial services / Cloud data engineering
Deliverable
production ML models
Required skills
Microsoft Fabric, Azure data services, SQL, Python, PySpark, ETL/ELT pipelines, Git, CI/CD, cloud security, RBAC, data governance, monitoring, troubleshooting
Preferred skills
Microsoft Fabric production experience, Microsoft certifications (DP-600, DP-700), OneLake, Fabric Lakehouse/Warehouse, Data Factory, Spark, Power BI, Delta Lake, Infrastructure-as-Code (Terraform), regulated environment experience
Technologies
Microsoft Fabric, Azure, SQL, Python, PySpark, Spark, Git, Terraform, Power BI, Delta Lake
Responsibilities
Design, deploy, and support Microsoft Fabric environments, workspaces, and solutions; Build and maintain Lakehouses, Warehouses, data pipelines, notebooks, and data transformation processes; Develop scalable ETL/ELT solutions using SQL, Python, PySpark, and Spark; Integrate Fabric with Azure services, databases, APIs, SaaS applications, and on-premises data sources; Implement security, RBAC, data governance, lineage, and compliance controls; Establish Git, CI/CD, and automated deployment practices across development, test, and production environments; Monitor platform health, capacity, performance, pipelines, and production workloads; Troubleshoot incidents and perform root-cause analysis and performance optimization; Develop technical standards, documentation, operational procedures, and runbooks; Partner with Cloud, Infrastructure, Security, Data, Application Development, and business teams.
Seniority
Mid-Senior, hands-on IC
