Databricks Data Engineering Manager — Lead Cloud Analytics

EY; Chicago (IL); On-site; USD 126,000 - 230,000; Full time

Job summary

EY in Chicago seeks a Data Engineering Manager to lead a team delivering complex cloud analytics solutions with a focus on Databricks. You will design scalable data architectures, mentor engineers, and collaborate with clients to translate business needs into technical outcomes.

You will manage workstreams, budgets, and engagement economics while staying current with cloud analytics trends. Travel may be required to serve clients.

Qualifications

• Bachelor's degree in computer science, engineering, or related field.
• Typically 4–6 years of data engineering experience on cloud data solutions.
• Proven expertise in Databricks and Spark.
• Hands-on AI-native data engineering practices using generative AI workflows.

Responsibilities

• Lead workstream delivery and ensure quality across processes.
• Engage with clients daily and identify opportunities for additional services.
• Manage resource plans and budgets while overseeing engagement economics.

Skills

Databricks

Leadership

Client management

Python/Scala/SQL

Cloud architecture

Data governance

Education

Bachelor's degree in CS/Engineering

Master’s degree preferred

Tools

Databricks

Spark

Cursor

GitHub Copilot

Databricks Assistant

Job description

EY in Chicago seeks a Data Engineering Manager to lead a team delivering complex cloud analytics solutions with a focus on Databricks. You will design scalable data architectures, mentor engineers, and collaborate with clients to translate business needs into technical outcomes.

You will manage workstreams, budgets, and engagement economics while staying current with cloud analytics trends. Travel may be required to serve clients.