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Microsoft Fabric Expert with Data Engineer

ExperiencedNo visa sponsorship
Capgemini logo

at Capgemini

Consultancies

Posted 7 days ago

No clicks

**Microsoft Fabric Expert with Data Engineer - Newark, NJ (Onsite/Hybrid)** - Expert architect & data engineer using Microsoft Fabric, Power BI, & OneLake. - Design end-to-end analytics solutions, optimize data pipelines, & manage data governance. - Lead migrations from legacy data platforms to Microsoft Fabric.

Compensation
$90,000 – $110,786 USD

Currency: $ (USD)

City
Not specified
Country
United States

Full Job Description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds 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, handson 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 enterprisegrade, endtoend 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 handson with Microsoft Fabric (early adoption is a big plus).
  • Strong background in modern data platformsAzure Data Lake, Synapse, Databricks (preferred but not mandatory).
  • Microsoft Certifications (Fabric, Azure, Power BI) are a plus.
  • Very deep, handson expertise in Microsoft Fabricarchitecture, 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 endtoend analytics solutions on Fabric.
  • Must have deep technical proficiency in
    • Fabric Lakehouses, Warehouses, KQL Databases, Realtime 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 enterprisescale architectures.
  • Strong communication and stakeholder engagement.
  • Experience mentoring technical teams and driving technology adoption.

Key Responsibilities

  • Architect, design, and implement enterprisescale 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 largescale 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 multidomain analytics environments.
  • Build highly optimized Power BI semantic models connected to Fabric Lakehouses/Warehouses.
  • Implement enterprise BI practicesdata modeling, rowlevel 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 Fabricbased solutions.
  • Provide mentoring, technical leadership, and subjectmatter expertise to internal teams.
  • Stay current with Microsofts 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 Capgeminis 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.

Apply now

SIMILAR OPPORTUNITIES

No similar opportunities available at the moment.

Microsoft Fabric Expert with Data Engineer

Compensation

$90,000 – $110,786 USD

City: Not specified

Country: United States

Capgemini logo
Consultancies

7 days ago

No clicks

at Capgemini

ExperiencedNo visa sponsorship

**Microsoft Fabric Expert with Data Engineer - Newark, NJ (Onsite/Hybrid)** - Expert architect & data engineer using Microsoft Fabric, Power BI, & OneLake. - Design end-to-end analytics solutions, optimize data pipelines, & manage data governance. - Lead migrations from legacy data platforms to Microsoft Fabric.

Full Job Description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds 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, handson 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 enterprisegrade, endtoend 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 handson with Microsoft Fabric (early adoption is a big plus).
  • Strong background in modern data platformsAzure Data Lake, Synapse, Databricks (preferred but not mandatory).
  • Microsoft Certifications (Fabric, Azure, Power BI) are a plus.
  • Very deep, handson expertise in Microsoft Fabricarchitecture, 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 endtoend analytics solutions on Fabric.
  • Must have deep technical proficiency in
    • Fabric Lakehouses, Warehouses, KQL Databases, Realtime 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 enterprisescale architectures.
  • Strong communication and stakeholder engagement.
  • Experience mentoring technical teams and driving technology adoption.

Key Responsibilities

  • Architect, design, and implement enterprisescale 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 largescale 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 multidomain analytics environments.
  • Build highly optimized Power BI semantic models connected to Fabric Lakehouses/Warehouses.
  • Implement enterprise BI practicesdata modeling, rowlevel 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 Fabricbased solutions.
  • Provide mentoring, technical leadership, and subjectmatter expertise to internal teams.
  • Stay current with Microsofts 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 Capgeminis 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.

SIMILAR OPPORTUNITIES

No similar opportunities available at the moment.