Senior Data Engineer - Microsoft Fabric

Capgemini

Bridgewater, Northern (MA, KY)

On-site

USD 150,000 - 170,000

Full time

8 days ago

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Benefits offered by this job

Paid time off
Vacation days (12-25)
Company paid holidays
Personal days
Healthcare coverage
Retirement savings plans (401(k))
Life and disability insurance
Employee assistance programs

Job summary

Capgemini seeking a Microsoft Fabric Data Architect to scale our data platform for BI, ML, and AI initiatives and to communicate effectively with senior leadership.

You will architect migration to Microsoft Fabric, design Lakehouse and PySpark-based data solutions, review Spark pipelines, and enable ML/AI capabilities with Azure ML and MLOps, while advising on governance and scalability.

Qualifications

  • Expertise in Microsoft Fabric and data lake/lakehouse architectures.
  • Strong experience with Apache Spark PySpark and Spark SQL.
  • Experience designing Power BI semantic models and enabling ML/AI workflows.

Responsibilities

  • Architect and guide migration to Microsoft Fabric.
  • Design Lakehouse and PySpark based data solutions.
  • Support and review Spark engineering and data pipelines.
  • Design and validate Power BI semantic models.
  • Enable ML and AI capabilities, including BI embedded ML.
  • Support Azure ML and MLOps integration.
  • Advise on data architecture best practices, governance, and scalability.
  • Communicate architecture decisions and tradeoffs to BI and business leadership.

Skills

Microsoft Fabric
Data Lake / Lakehouse Architecture
Apache Spark (PySpark, Spark SQL)
Power BI semantic modeling
Azure Machine Learning
Azure MLOps

Job description

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. Joinus and help the world’s leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

About the job You're considering

We are seeking a Microsoft Fabric Data Architect. This role will help scale the data platform to meet growing BI, ML, and AI initiatives and must be capable of communicating effectively with senior leadership.

Your role
  • Architect and guide migration to Microsoft Fabric
  • Design Lakehouse and PySpark based data solutions
  • Support and review Spark engineering and data pipelines
  • Design and validate Power BI semantic models
  • Enable ML and AI capabilities, including BI embedded ML
  • Support Azure ML and MLOps integration
  • Advise on data architecture best practices, governance, and scalability
  • Communicate architecture decisions and tradeoffs to BI and business leadership
Skills and experience
  • Microsoft Fabric
  • Data Lake / Lakehouse Architecture
  • Apache Spark (PySpark, Spark SQL)
  • Power BI semantic modeling
  • Azure Machine Learning
  • Azure MLOps

The base compensation range for this role in the posted location is: $150,000 - $170,000.

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.

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 LeaveMedical, 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.

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