Databricks Data Engineering Manager: Cloud Analytics Leader

EY; Woodbridge Township (NJ); Remote; USD 125,000 - 260,000; Full time

Benefits offered by this job

Medical & dental benefits

Pension & 401(k)

Paid time off

Job summary

EY seeks a dynamic Data Engineering Manager to lead design and implementation of cloud analytics solutions focused on Databricks. You will architect scalable data systems, mentor a team of engineers, and collaborate with clients to translate business needs into technical outcomes.

Ideal candidates bring 4–6 years in data engineering, strong Python/SQL skills, experience with Spark, and a track record of managing projects and stakeholders in a cloud environment.

Qualifications

• Bachelor’s degree in computer science, engineering, or related field required; Master’s preferred.
• Typically, 4–6 years of data engineering experience with cloud data solutions and analytics.
• Proven expertise in Databricks and Spark for big data processing.
• Hands-on experience with AI-native data engineering practices and agentic workflows.
• Strong background in data architecture and design for cloud analytics solutions.
• Experience leading teams with mentoring and talent development.
• Proficiency in Python, Scala, or SQL; familiarity with AI-powered IDEs.

Responsibilities

• Lead workstream delivery and ensure quality across processes.
• Engage with clients daily and identify opportunities for additional services.
• Design, build, and operate scalable data engineering solutions on cloud platforms.
• Oversee data pipeline development, ingestion, transformation, and storage with Databricks.
• Mentor a team of data engineers and foster innovation and collaboration.
• Ensure data quality, security, and governance throughout the lifecycle.

Skills

Databricks

Cloud architecture

Leadership

Client management

Python

SQL

Spark

Azure

AWS

GCP

Education

Bachelor’s degree in CS/Engineering

Master’s degree preferred

Tools

Databricks

Spark

Python

SQL

Azure

AWS

GCP

Job description

EY seeks a dynamic Data Engineering Manager to lead design and implementation of cloud analytics solutions focused on Databricks. You will architect scalable data systems, mentor a team of engineers, and collaborate with clients to translate business needs into technical outcomes.

Ideal candidates bring 4–6 years in data engineering, strong Python/SQL skills, experience with Spark, and a track record of managing projects and stakeholders in a cloud environment.