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Capgemini

Data Platform Engineer

full-time•New York•$90k - $110k

Summary

Location

New York

Salary

$90k - $110k

Type

full-time

Experience

5-10 years

Company links

WebsiteLinkedInLinkedIn

About this role

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.

Job Location : Newark, NJ (Onsite/Hybrid)

Job Description

  • We are seeking a highly skilled Data Platform Engineer to design, build, and optimize data solutions using Microsoft Fabric, OneLake, and modern data architecture patterns. The ideal candidate will have strong experience in building scalable data pipelines, enabling Fabric‑native data capabilities, and driving cloud modernization initiatives within the Microsoft ecosystem.
  • Design and develop data pipelines and models using Microsoft Fabric and OneLake, with a strong focus on interoperability and performance using columnar formats like Parquet and efficient serialization formats like Protobuf.
  • Collaborate with cross-functional teams (Product Owners, Azure Solution Architects, Data & Software Engineers) to drive a Fabric-native data platform that integrates seamlessly with Power BI.
  • Enable modern data architecture patterns, including Lakehouse, near real-time streaming, schema evolution, and efficient serialization in messaging and APIs.
  • Maintain and automate scalable data pipelines, emphasizing performance, metadata consistency, and optimal use of storage formats such as Parquet within the Microsoft ecosystem.
  • Champion DevOps practices, implementing CI/CD pipelines (via Azure DevOps or GitLab Pipelines) and Infrastructure-as-Code for consistent, secure deployment of Fabric-based solutions.
  • Monitor and optimize platform performance using observability tools, ensuring health, reliability, and cost-efficiency.Drive cloud migration and modernization efforts, guiding the transition to Microsoft Azure and Fabric, ensuring format and schema"

Qualifications

  • Strong experience with Microsoft Fabric, OneLake, and Azure data services.
  • Hands-on expertise with Parquet, Protobuf, and modern serialization/storage formats.
  • Experience designing and automating scalable data pipelines.
  • Solid understanding of data modeling, schema evolution, streaming architectures, and lakehouse principles.
  • Strong background in DevOps practices, CI/CD automation, and IaC tools.
  • Experience collaborating with cross-functional engineering and product teams.
  • Strong problem‑solving, optimization, and analytical skills.

The base compensation range for this role in the posted location is: USD $90000 - $110786 Per Year.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

 

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: 

  • 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 (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

 

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect.  We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States.  http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

 

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

 

What you'll do

  • Design and develop data pipelines and models using Microsoft Fabric and OneLake, focusing on interoperability and performance. Collaborate with cross-functional teams to drive a Fabric-native data platform that integrates seamlessly with Power BI.

About Capgemini

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 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion. Make it real | www.capgemini.com

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Frequently Asked Questions

What does Capgemini pay for a Data Platform Engineer?

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Capgemini offers a competitive compensation package for the Data Platform Engineer role. The salary range is USD 90k - 111k per year. Apply through Clera to learn more about the full compensation details.

What does a Data Platform Engineer do at Capgemini?

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As a Data Platform Engineer at Capgemini, you will: design and develop data pipelines and models using Microsoft Fabric and OneLake, focusing on interoperability and performance. Collaborate with cross-functional teams to drive a Fabric-native data platform that integrates seamlessly with Power BI..

Is the Data Platform Engineer position at Capgemini remote?

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The Data Platform Engineer position at Capgemini is based in New York, United States. Contact the company through Clera for specific work arrangement details.

How do I apply for the Data Platform Engineer position at Capgemini?

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You can apply for the Data Platform Engineer position at Capgeminidirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.
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