Data Engineering Manager

An automotive e-commerce and distribution company we are partnered with is looking for a Data Engineering Manager to lead a small team and help build out a Databricks and AWS data platform that will serve as the company’s central source for reporting and analytics.

This role needs someone who can provide clear direction, develop engineers, and guide technical decisions. The team is currently building out data ingestion, with the next phase focused on transforming that data into reliable datasets for business use. You’ll help shape that work, partner with analytics and business teams, and support hiring as the team grows.

• Lead, mentor, and develop data engineers across junior through senior levels.
• Set priorities, provide technical guidance, and keep projects moving.
• Oversee data pipelines and lakehouse architecture using Databricks and AWS.
• Guide development of Bronze, Silver, and Gold data layers.
• Establish standards for data quality, governance, security, monitoring, and reliability.
• Partner with analytics, IT, and business teams to deliver accurate, usable data.
• Support platform modernization, performance improvements, and cloud cost management.

• At least eight years of progressive data engineering experience.
• At least three years of supervisory or management experience.
• Strong Databricks or Snowflake experience, including Spark, Delta Lake, Workflows, and Unity Catalog.
• Experience leading cloud data platform modernization.
• Clear communication and the ability to provide direction and accountability.
• A relevant bachelor’s degree or equivalent work experience.

Candidates must be able to work onsite in South Bend five days a week.