MS Fabric Engineer

Capgemini • New York, NY

3d • $125,000 - $135,000 • Onsite

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Requirements

• CICD
• DevOps
• IT operations
• Microsoft Azure
• Microsoft Entra ID
• Microsoft Fabric
• Microsoft Power BI
• Root cause analysis
• SLA
• Acceptance testing
• Capacity planning
• Cloud engineering
• Cloud native computing
• Collaboration
• Configuration management
• Continuous improvement
• US D1 ID-FSNA
• Platform Engineering Administration
• Design deploy and manage Microsoft Fabric enterprise environments
• Administer Fabric capacities workspaces OneLake and platform configurations
• Establish platform standards governance frameworks and operational procedures
• Build reusable deployment frameworks for Fabric workloads
• Manage platform scalability performance optimization and capacity planning
• Implement high availability resiliency and disaster recovery capabilities
• Support enterprise data and analytics platform modernization initiatives
• DevSecOps Automation
• Design and implement enterprise DevSecOps frameworks for Microsoft Fabric
• Build and maintain CICD pipelines for Fabric Power BI and Azure workloads
• Automate environment provisioning deployments monitoring and governance activities
• Integrate security controls throughout the Software Development Lifecycle SDLC
• Implement InfrastructureasCode IaC and configuration management practices
• Establish automated testing and deployment validation processes
• Drive shiftleft security and policyascode adoption
• Microsoft Fabric Operations
• ManageOneLakeFabric Data FactoryFabric LakehouseFabric Data WarehouseFabric Data EngineeringFabric RealTime AnalyticsFabric NotebooksFabric Data ScienceFabric Power BI
• Monitor capacity utilization and workload performance
• Optimize platform resource consumption and costs
• Manage release processes across Development QA UAT and Production environments
• Implement backup recovery and business continuity procedures
• Security Compliance
• Implement enterprise security controls and governance frameworks
• Configure rolebased access controls RBAC and leastprivilege access models
• Integrate Microsoft Entra ID with Fabric and Azure services
• Implement secrets management and credential rotation policies
• Support regulatory compliance and audit requirements
• Perform security assessments vulnerability management and remediation activities
• Implement data protection encryption and monitoring solutions
• Cloud Engineering
• Design and support Azurebased platform infrastructure
• Implement cloudnative services supporting Fabric workloads
• Manage networking security boundaries and private connectivity
• Support multienvironment deployment strategies
• Enable platform observability and operational excellence
• Monitoring Reliability Engineering
• Establish endtoend platform monitoring and alerting
• Implement logging tracing and operational dashboards
• Track platform health reliability SLA and performance KPIs
• Lead incident management root cause analysis and remediation efforts
• Drive platform reliability and continuous improvement initiatives
• Collaboration Technical Leadership
• Partner with Data Engineers Architects Security Teams and Business Stakeholders
• Define engineering standards deployment frameworks and governance controls
• Mentor platform engineers and DevOps team members
• Lead platform reviews security reviews and operational readiness assessments

Responsibilities

• Design, deploy, and manage Microsoft Fabric enterprise environments.
• Administer Fabric capacities, workspaces, OneLake, and platform configurations.
• Establish platform standards, governance frameworks, and operational procedures.
• Build reusable deployment frameworks for Fabric workloads.
• Manage platform scalability, performance optimization, and capacity planning.
• Implement high availability, resiliency, and disaster recovery capabilities.
• Support enterprise data and analytics platform modernization initiatives.
• Design and implement enterprise DevSecOps frameworks for Microsoft Fabric.
• Build and maintain CI/CD pipelines for Fabric, Power BI, and Azure workloads.
• Automate environment provisioning, deployments, monitoring, and governance activities.
• Integrate security controls throughout the Software Development Lifecycle (SDLC).
• Implement Infrastructure as Code (IaC) and configuration management practices.
• Establish automated testing and deployment validation processes.
• Drive shift-left security and policy-as-code adoption.
• Manage OneLake, Fabric Data Factory, Fabric Lakehouse, Fabric Data Warehouse, Fabric Data Engineering, Fabric Real-Time Analytics, Fabric Notebooks, Fabric Data Science, Fabric Power BI.
• Monitor capacity utilization and workload performance.
• Optimize platform resource consumption and costs.
• Manage release processes across Development, QA, UAT, and Production environments.
• Implement backup, recovery, and business continuity procedures.
• Implement enterprise security controls and governance frameworks.
• Configure role-based access controls (RBAC) and least-privilege access models.
• Integrate Microsoft Entra ID with Fabric and Azure services.
• Implement secrets management and credential rotation policies.
• Support regulatory compliance and audit requirements.
• Perform security assessments, vulnerability management, and remediation activities.
• Implement data protection, encryption, and monitoring solutions.
• Design and support Azure-based platform infrastructure.
• Implement cloud-native services supporting Fabric workloads.
• Manage networking, security boundaries, and private connectivity.
• Support multi-environment deployment strategies.
• Enable platform observability and operational excellence.
• Establish end-to-end platform monitoring and alerting.
• Implement logging, tracing, and operational dashboards.
• Track platform health, reliability, SLA, and performance KPIs.
• Lead incident management, root cause analysis, and remediation efforts.
• Drive platform reliability and continuous improvement initiatives.
• Partner with Data Engineers, Architects, Security Teams, and Business Stakeholders.
• Define engineering standards, deployment frameworks, and governance controls.
• Mentor platform engineers and DevOps team members.
• Lead platform reviews, security reviews, and operational readiness assessments.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
• Company paid holidays
• Personal Days
• Sick Leave
• Medical, dental, and vision coverage
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed