Fabric Platform Engineer: Build & Optimize Data Workloads

Capgemini; Aguascalientes; Presencial; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

Capgemini Mexico is hiring a Microsoft Fabric Platform Engineer in Aguascalientes. You will provision, configure, and administer Fabric environments, ensuring governance, security and optimal performance for data workloads.

You will collaborate with data engineers, analysts, and business teams to onboard users, monitor health, and implement best practices across Lakehouse, Data Factory, and Power BI workloads, while supporting platform upgrades and documentation.

Formación

• 4-6 years in data analytics, business intelligence, cloud platforms, or data engineering.
• At least 1-2 years hands-on with Microsoft Fabric.
• Experience administering and supporting enterprise Power BI environments.
• Experience working with Microsoft Azure services and cloud infrastructure.

Responsabilidades

• Provision, configure, and administer Fabric capacities, workspaces, and platform settings.
• Manage Fabric environment setup, governance, security, and access controls.
• Monitor platform health, performance, capacity utilization, and resource consumption.
• Troubleshoot Fabric, Power BI, and data integration issues.
• Support onboarding of business teams, data engineers, and analysts to the Fabric platform.
• Configure and support Lakehouse, Warehouse, Data Factory, Real-Time Analytics, and Power BI workloads.
• Implement security, compliance, and governance best practices.
• Collaborate with application teams to optimize performance, reliability, and cost.
• Support platform upgrades, new feature adoption, and operational readiness activities.
• Create and maintain platform documentation, standards, and operational procedures.

Conocimientos

Microsoft Fabric

Power BI

Azure

Cloud platforms

Data analytics

Descripción del empleo

Capgemini Mexico is hiring a Microsoft Fabric Platform Engineer in Aguascalientes. You will provision, configure, and administer Fabric environments, ensuring governance, security and optimal performance for data workloads.

You will collaborate with data engineers, analysts, and business teams to onboard users, monitor health, and implement best practices across Lakehouse, Data Factory, and Power BI workloads, while supporting platform upgrades and documentation.