Microsoft Fabric Data Engineer Lead

Sogeti; Phoenix (AZ); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Sogeti in Phoenix, AZ is seeking a Microsoft Fabric Data Engineer to design and optimize data pipelines and lakehouse architectures. The role requires hands-on PySpark, Spark SQL, and Delta Lake work, with optimization of large-scale analytics.

Candidates must reside in the Phoenix area and commit to in-office work 4 days a week (Mon-Thurs) with Fri remote. The position involves collaborating with data architects, analysts, and reporting teams to deliver scalable solutions.

Qualifications

• Hands-on with Microsoft Fabric Data Engineering and Delta Lake optimization.
• Proficient in PySpark, Spark SQL, and Python for large-scale pipelines.
• Familiar with OneLake and Lakehouse architectures.
• Understanding of Medallion Architecture (Bronze/Silver/Gold).
• Experience with Data Factory Pipelines & Dataflows Gen2.
• Strong performance tuning and capacity management skills.

Responsibilities

• Design and develop data pipelines using Microsoft Fabric, PySpark, and Spark SQL.
• Build Bronze, Silver, and Gold lakehouse architectures.
• Optimize Delta Lake tables for large-scale analytics.
• Develop incremental load, CDC, and upsert/merge patterns with PySpark.
• Tune Spark workloads to improve performance and reduce costs.
• Analyze Spark execution plans, shuffles, and memory usage.
• Optimize Fabric capacities and monitor workload performance.
• Collaborate with data architects, analysts, and reporting teams.

Skills

Microsoft Fabric

PySpark

Spark SQL

Python

OneLake

Lakehouse

Medallion Architecture

Data Factory

Performance Tuning

Tools

Notebooks

Delta Lake

Job description

**Candidates must reside in the Phoenix, AZ greater are and are committed to be in the office 4 days a week (Mon-Thurs & Fri being remote).**

What you will do at Sogeti:

Job Title: Microsoft Fabric Data Engineer (PySpark & Delta Optimization)

Key Responsibilities

• Design and develop data pipelines using Microsoft Fabric, Notebooks, PySpark, and Spark SQL.
• Build and manage Bronze, Silver, and Gold lakehouse architectures.
• Implement and optimize Delta Lake tables for large-scale analytics workloads.
• Develop incremental load, CDC, and upsert/merge patterns using PySpark.
• Tune Spark workloads to improve performance, reduce execution time, and minimize capacity consumption.
• Analyze Spark execution plans, shuffle operations, partitioning, and memory usage.
• Optimize Fabric capacities and monitor workload performance.
• Collaborate with data architects, business analysts, and reporting teams to deliver scalable solutions.

What you will bring:

Required Technical Skills

• Microsoft Fabric Data Engineering
• PySpark, Spark SQL, Python
• OneLake, Lakehouse Architecture
• Medallion Architecture (Bronze/Silver/Gold)
• Data Factory Pipelines & Dataflows Gen2
• Performance Tuning and Capacity Management

Candidates should have hands‑on experience with:

• OPTIMIZE for file compaction
• Small file management
• Optimize Write
• VACUUM implementation and retention management
• Z-Order optimization where appropriate
• Spark monitoring, shuffle optimization, and executor tuning
• Data skipping and query performance improvements

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 | www.sogeti.us

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.

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 disclosed 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.

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.