Data Engineering Manager

IMPACT Technology Recruiting; South Bend (IN); Presencial; USD 140.000 - 190.000; Jornada completa

Descripción de la vacante

Unknown Automotive Firm in South Bend, Indiana, is seeking a Data Engineering Manager to lead a small team and build a Databricks and AWS-based data platform acting as the company’s central source for reporting and analytics.

You will guide engineers, set priorities, and shape data ingestion, transformations, and reliable datasets for business use. The role requires onsite work five days a week and strong stakeholder collaboration.

Formación

• Eight years of progressive data engineering experience.
• 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 accountability.

Responsabilidades

• 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 data.
• Support platform modernization, performance improvements, and cloud cost management.

Conocimientos

Databricks

AWS

Data engineering

Team leadership

Data governance

Educación

Bachelor's degree

Herramientas

Snowflake

Spark

Delta Lake

Descripción del empleo

Onsite five days a week in South Bend, IN

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.

What you’ll do:

• 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.

What we’re looking for:

• 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.