Senior Data Platform Engineer – Fabric & Azure

Appone

Chicago (IL)

On-site

USD 130,000 - 180,000

Full time

8 hours ago

Be an early applicant

Application generator

Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.

Get past ATS filters

Job summary

Evention is seeking a Senior Developer, Data Engineering to lead the design, development, and delivery of its enterprise data platform built on Microsoft Fabric. You will set technical direction for the data platform, architect scalable pipelines, and build .NET-based serverless components.

You will partner with product, engineering, and business stakeholders to turn data into a strategic asset, establish best practices, and mentor the team while staying current with Fabric and Azure data

Qualifications

5+ years building enterprise data solutions on Azure (Fabric/Databricks).
Experience leading or acting as a technical lead for a data platform team.
Strong Python skills for data engineering and pipelines.
Proficiency in PySpark, Pandas, or Polars for DataFrame processing.
General .NET/C# experience including Azure Function Apps.
Experience building data pipelines, lakehouses, and ETL/ELT on Fabric.
Hands-on Spark notebooks and distributed data processing.
Strong SQL/T-SQL skills.
Experience with spec-driven development and AI-assisted development workflows.
Strong data analytics and data architecture experience for scalable reporting.

Responsibilities

Lead and mentor the data platform team, setting technical direction across data engineering, analytics, and architecture initiatives.
Design, build, and maintain enterprise data solutions on Microsoft Fabric, including lakehouses, data pipelines, and ETL/ELT frameworks.
Architect scalable data models and analytics solutions for reporting and BI across the platform.
Develop Spark notebooks and distributed data processing jobs for large-scale data transformation.
Build .NET-based Azure Function Apps and serverless workflows for Fabric-based tasks.
Build and maintain integrations to client data sources feeding the data platform.
Collaborate with product and business stakeholders to translate requirements into technical solutions.
Establish best practices for data pipeline development, CI/CD, monitoring, and governance.
Perform code/design reviews and mentor team members on engineering/data practices.
Stay current on Microsoft Fabric, Azure data services, and data engineering trends.