Senior Microsoft Fabric Data Engineer (Phoenix)

**Candidates must reside in the greater Phoenix, AZ area and are required to go into the office 4 days a week**

About the job:

We are seeking an experienced Microsoft Fabric Data Engineer to support a large-scale enterprise migration to Microsoft Fabric. This role will be responsible for designing, developing, migrating, testing, and optimizing data solutions using OneLake, Lakehouse, Data Warehouse, Fabric Data Factory, Dataflows, Notebooks, and Power BI.

The engineer will work across multiple WAB domains including Finance, Customer, Product, Transactions, Reporting, and Analytics while helping execute the Fabric migration roadmap from implementation through production deployment and knowledge transfer.

What you will do:

• Design and develop data solutions using Microsoft Fabric.
• Build and maintain Fabric Data Factory pipelines, Dataflows Gen2, and Spark Notebooks.
• Implement OneLake, Lakehouse, and Data Warehouse solutions.
• Migrate existing Azure Synapse, Azure Data Factory, and legacy data workloads into Microsoft Fabric.
• Develop ETL/ELT processes and enterprise data pipelines.
• Support data validation, reconciliation, performance tuning, and deployment activities.
• Implement secure, scalable, and reusable data engineering patterns aligned with WAB standards.
• Collaborate with architects, analysts, business stakeholders, and reporting teams.
• Support SIT, UAT, Go-Live, Hypercare, and knowledge transfer activities as part of the migration program. The migration roadmap includes assessment, migration waves, testing, Go-Live, stabilization, and BAU transition.

Required Skills:

Microsoft Fabric

• OneLake
• Fabric Lakehouse
• Fabric Data Warehouse
• Fabric Data Factory
• Dataflows Gen2
• Fabric Notebooks
• Spark / PySpark
• Power BI Semantic Models
• Deployment Pipelines

Data Engineering

• SQL / T-SQL
• Python / PySpark
• ETL / ELT Development
• Data Modeling
• Data Warehousing & Lakehouse Architecture
• Data Validation & Performance Tuning

Azure Experience

• Azure Data Factory
• Azure Synapse Analytics
• Azure Data Lake Storage (ADLS Gen2)
• Azure DevOps / CI-CD

Preferred Qualifications

• Microsoft Fabric Data Engineer certification (DP-700)
• Azure Data Engineer certification (DP-203)
• Experience migrating enterprise data platforms to Microsoft Fabric
• Experience with Power BI and Microsoft Purview
• Financial services or banking experience preferred

About Sogeti

Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.

Become Your Best |

Disclaimer

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.

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 accommodations do 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

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $85,000 - $155,000.

This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.