Databricks Data Engineering Manager – Cloud Analytics Lead

EY; Nashville (TN); Remote; USD 126,000 - 262,000; Full time

Job summary

EYis seeking a dynamic Data Engineering Manager to lead cloud analytics initiatives with a focus on Databricks. You will design scalable data architectures, mentor a team of data engineers, and collaborate with clients to translate business needs into effective technical solutions.

The role emphasizes leadership, advanced cloud analytics, and hands-on data engineering across ingestion, transformation, and storage, with travel as needed. A strong background in Python/Scala/SQL is expected.

Qualifications

• Bachelor's degree in CS, Engineering, or related field required; Master’s degree preferred.
• Typically, no less than 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 to accelerate development.
• Strong background in data architecture and design for complex cloud analytics solutions.
• Experience in leading and managing teams, with mentoring focus.
• Strong programming skills in Python, Scala, or SQL.
• Familiarity with AI-powered IDEs and coding assistants in daily development.
• Excellent problem-solving skills and ability to work independently and in a team.
• Strong communication and interpersonal skills with client management focus.

Responsibilities

• Lead workstream delivery and ensure quality across processes.
• Engage with clients daily, participate in sessions, and identify opportunities for additional services.
• Implement resource plans and budgets while managing engagement economics.
• Design, build, and operate scalable data architecture and modeling solutions.
• Stay updated with trends to maintain competitive edge in data engineering and analytics.
• Mentor and manage a team of data engineers, fostering collaboration and continuous improvement.
• Drive end-to-end data pipeline development including ingestion, transformation, and storage using Databricks and cloud services.
• Collaborate with stakeholders to translate business needs into technical solutions.
• Ensure data quality, security, and governance across the data lifecycle.

Skills

Databricks

Cloud platforms

Data architecture

Leadership

Client management

Data governance

Data pipelines

Python/SQL/Scala

Communication

Education

Bachelor's degree in CS/Engineering

Master's degree preferred

Tools

Spark

Terraform

AWS

Azure

GCP

Job description

EYis seeking a dynamic Data Engineering Manager to lead cloud analytics initiatives with a focus on Databricks. You will design scalable data architectures, mentor a team of data engineers, and collaborate with clients to translate business needs into effective technical solutions.

The role emphasizes leadership, advanced cloud analytics, and hands-on data engineering across ingestion, transformation, and storage, with travel as needed. A strong background in Python/Scala/SQL is expected.