Microsoft Fabric Expert with Data Engineer

Microsoft Fabric Expert with Data Engineer 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 experienced
• Microsoft Fabric Expert
• with deep, hands‑on expertise across the entire Microsoft Fabric ecosystem. The ideal candidate is a
• recognized specialist
• in Microsoft Fabric architecture, Data Engineering, Power BI, and OneLake, capable of designing and delivering enterprise‑grade, end‑to‑end analytics solutions. This role requires someone who has
• very deep technical knowledge
• , can provide thought leadership, and can guide teams in adopting Fabric as the central analytics platform.
• Must Have
• + 8+ years of total experience in Data Engineering / BI / Analytics. + 4+ years hands‑on with
• Microsoft Fabric (early adoption is a big plus)
• . + Strong background in modern data platforms—Azure Data Lake, Synapse, Databricks (preferred but not mandatory). + Microsoft Certifications (Fabric, Azure, Power BI) are a plus. +
• Very deep, hands‑on expertise in Microsoft Fabric
• —architecture, features, governance, engineering, and analytics.

Advanced experience with

• OneLake
• , shortcuts, security, governance, and workspace management. + Strong Data Engineering background with deep knowledge of
• Delta Lake, PySpark, Fabric Notebooks, Pipelines
• .Expert in
• Power BI
• , including data modeling, DAX, Direct Lake, incremental refresh, and governance. + Proven experience in building end‑to‑end analytics solutions on Fabric. +
• Must have deep technical proficiency in
• + Fabric Lakehouses, Warehouses, KQL Databases, Real‑time Analytics + Data Pipelines, Dataflows Gen2, Spark Notebooks + Medallion architecture, ETL/ELT frameworks + Azure AD / Entra ID, security, and data governance + SQL, Python, DAX, M Query + DevOps, CI/CD for Fabric & Power BI (bonus) + Ability to design enterprise‑scale architectures.

+ Strong communication and stakeholder engagement. + Experience mentoring technical teams and driving technology adoption.

• Key Responsibilities
• + Architect, design, and implement enterprise‑scale analytics solutions using
• Microsoft Fabric
• as the core platform. + Define best practices, governance models, and operating frameworks for
• Fabric capacities, workspaces, domains, and pipelines
• . + Lead migration strategies from legacy data platforms to Fabric (e.g., Azure Data Lake, Synapse, SQL, Power BI). + Build and optimize
• Data Engineering pipelines
• using Dataflows Gen2, Pipelines, Lakehouses, Notebooks, and Warehouse objects. + Implement
• medallion architecture
• , delta tables, ingestion frameworks, and Fabric pipelines. + Manage, optimize, and partition large‑scale datasets for performance and cost efficiency. + Design and manage
• OneLake data architecture
• , shortcuts, security layers, domains, and storage policies. + Implement governance frameworks including
• data security, sensitivity labels, RBAC, data lineage, and cataloging

•. + Optimize OneLake usage across multi‑domain analytics environments. + Build highly optimized Power BI semantic models connected to Fabric Lakehouses/Warehouses. + Implement enterprise BI practices—data modeling, row‑level security, incremental refresh, composite models, Direct Lake. + Provide performance tuning and best practices for large datasets and complex reporting scenarios. + Work closely with business stakeholders, data scientists, domain leads, and engineering teams to translate business needs into Fabric‑based solutions. + Provide mentoring, technical leadership, and subject‑matter expertise to internal teams. + Stay current with Microsoft's evolving Fabric roadmap and bring innovative capabilities into the organization. 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. 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. Ref.

code:

393834 Posted on: Apr 29, 2026

Experience Level:

Experienced Professionals Contract Type:

Permanent Location:

New York, NY, US Brand:

Capgemini Professional Community:

Data & AI Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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.