Senior Microsoft Fabric Data Engineer - Enterprise Migration

Sogeti; Phoenix (AZ); On-site; USD 85,000 - 155,000; Full time

Job summary

Sogeti in Phoenix is seeking an experienced Microsoft Fabric Data Engineer to design, migrate, test, and optimize data solutions across enterprise workloads using OneLake, Lakehouse, Data Factory, Dataflows, and Power BI.

You will lead Fabric migrations from implementation through production deployment, collaborate with architects and stakeholders, and ensure scalable, secure data patterns in line with WAB standards.

Qualifications

• Design and implement data solutions using Microsoft Fabric and related tools.
• Migrate existing Azure Synapse, Data Factory, and legacy workloads to Fabric.
• Develop scalable ETL/ELT data pipelines and data validation procedures.
• Collaborate with stakeholders across Finance, Customer, Product, and Analytics domains.

Responsibilities

• 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 Azure Synapse and Data Factory workloads to Fabric.
• Develop enterprise ETL/ELT pipelines.
• Support validation, performance tuning, and deployment activities.
• Collaborate with architects, analysts, and reporting teams.
• Support migration program milestones from SIT to Go-Live.

Skills

OneLake

Fabric Lakehouse

Fabric Data Warehouse

Fabric Data Factory

Dataflows Gen2

Fabric Notebooks

Spark / PySpark

Power BI Semantic Models

SQL / T-SQL

Python / PySpark

ETL / ELT Development

Data Modeling

Data Warehousing & Lakehouse

Data Validation & Performance Tuning

Job description

Sogeti in Phoenix is seeking an experienced Microsoft Fabric Data Engineer to design, migrate, test, and optimize data solutions across enterprise workloads using OneLake, Lakehouse, Data Factory, Dataflows, and Power BI.

You will lead Fabric migrations from implementation through production deployment, collaborate with architects and stakeholders, and ensure scalable, secure data patterns in line with WAB standards.