Databricks Data Eng Manager - Cloud Analytics Lead

EY; Atlanta (GA); On-site; USD 126,000 - 251,000; Full time

Benefits offered by this job

Medical and dental coverage

401(k) plan

Job summary

EY is seeking a dynamic Data Engineering Manager to lead a team in designing and implementing cloud analytics solutions with a focus on Databricks. You will translate business requirements into scalable data architectures and collaborate with clients to deliver high-impact analytics offerings.

The role requires strong leadership, deep technical expertise in Databricks and cloud platforms, and hands-on experience with data governance and AI-enabled development.

Qualifications

• Bachelor’s degree in computer science, Engineering, or a related field is required; Master’s degree preferred.
• Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics.
• Proven expertise in Databricks and experience with Spark for big data processing.
• Hands‑on experience with AI‑native data engineering practices, such as using generative AI and agentic workflows to accelerate pipeline development, testing, documentation, and optimization.
• Strong background in data architecture and design, with experience in building complex cloud analytics solutions.
• Experience in leading and managing teams, with a focus on mentoring and developing talent.
• Strong programming skills in languages such as Python, Scala, or SQL.
• Familiarity with AI-powered IDEs and coding assistants (e.g., Cursor, GitHub Copilot, Databricks Assistant) and their use in day‑to‑day data engineering development.

Responsibilities

• Lead workstream delivery and ensure quality in all processes.
• Engage with clients daily, participate in working 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 using Databricks on cloud platforms.
• Mentor a team of data engineers and foster a culture of innovation and collaboration.
• Communicate effectively with stakeholders to convey complex data concepts and project progress.

Skills

Databricks

Cloud platforms (AWS/Azure/GCP)

Data engineering

Leadership

Client management

Python/Scala/SQL

Communication

Data governance

Big data processing

Education

Bachelor’s degree in computer science, Engineering, or related field

Master’s degree preferred

Tools

Databricks

Spark

GitHub Copilot

Cursor

Databricks Assistant

Job description

EY is seeking a dynamic Data Engineering Manager to lead a team in designing and implementing cloud analytics solutions with a focus on Databricks. You will translate business requirements into scalable data architectures and collaborate with clients to deliver high-impact analytics offerings.

The role requires strong leadership, deep technical expertise in Databricks and cloud platforms, and hands-on experience with data governance and AI-enabled development.