Data Platform Engineer

Summary

The Data Platform Engineer will lead the architecture, design, and evolution of an Enterprise Data Platform using technologies like Azure, Databricks, and Microsoft Fabric. The role focuses on building scalable data pipelines, establishing data governance, and driving platform modernization.

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 bya 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 organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Your Role:

  • Lead the architecture, design, and evolution of the Enterprise Data Platform (EDP) to enable analytics, reporting, integration, and processing requirements of various business units.

  • Establish canonical models, domain models, master / reference data patterns, common definitions, and other data – contract practices.

  • Integrate catalog, and governance capabilities with data platforms such as Azure, Databricks, Microsoft fabric, Power BI, data pipelines, APIs etc.

  • Design data ingestion, storage, processing, and consumption architectures.

  • Define ETL/ELT and orchestration patterns.

  • Ensure platform performance, scalability, resiliency, and security.

  • Support platform modernization and technology evolution.

Your Profile:

  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field, with extensive experience in enterprise data platform architecture and design.

  • Proven expertise in designing and implementing modern data architectures, including data ingestion, ETL/ELT pipelines, orchestration frameworks, and large-scale data processing solutions.

  • Strong hands-on experience with cloud-based data platforms and technologies such as Microsoft Azure, Databricks, Microsoft Fabric, Power BI, APIs, and data integration tools.

  • Deep understanding of data modeling, master and reference data management, data governance, metadata management, and enterprise data standards and contracts.

  • Demonstrated ability to architect highly scalable, secure, resilient, and high-performance data platforms while driving platform modernization and technology transformation initiatives.

What you’ll like about working here?

  • We promote Diversity & Inclusion as we believe diversity of thought fuels excellence and innovation.

  • In Capgemini, we enable people to be the architects of their career growth. We equip people in augmenting their potential by providing wide array of career growth programs that empower them to get the future they want.

  • Capgemini cultivates impactful experiences for its people that would aid in bringing out the best in them for them, for the company, and for their clients.

We are looking forward in meeting you!

See also

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