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Microsoft Fabric Platform Engineer

Capgemini

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.

 

Your Role

  • Provision, configure, and administer Microsoft 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 and resolve Microsoft 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.

Your Profile

  • We are seeking a Microsoft Fabric Platform Engineer with hands-on experience in provisioning, administration, configuration, and support of Microsoft Fabric environments. The ideal candidate will have a solid understanding of Microsoft Fabric, Power BI, and Azure technologies, and be capable of troubleshooting platform issues while supporting business users and data engineering teams.
  • 4-6 years of experience in data analytics, business intelligence, cloud platforms, or data engineering.
  • At least 1-2 years of hands-on experience working with Microsoft Fabric.
  • Experience administering and supporting enterprise Power BI environments.
  • Experience working with Microsoft Azure services and cloud infrastructure.

What you’ll love

Empowered Careers with Purpose: Work on meaningful projects that use technology to solve real-world challenges.

Growth and Learning at Every Step: Access continuous learning through internal academies, certifications and mentorship.

 

Own your growth: Open access to digital learning platforms

 

About Capgemini

Capgemini (Footer)

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of

over 420,000 team members in more than 50 countries. We deliver end-toend services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.

At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome

and will be considered based on merit against the job and/or experience for the position.

 

Job Description

Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.

Job Description - Grade Specific

The primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effectively to drive business outcomes.
Ref. code:  540700
Posted on:  Sep 16, 2026
Experience Level:  Experienced Professionals
Contract Type:  Permanent
Location: 

Aguascalientes, MX

Brand:  Capgemini
Professional Community:  Data & AI

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