Remote Databricks Data Engineering Manager

EY; Los Angeles (CA); Remote; USD 126,000 - 230,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off

Job summary

EY is seeking a dynamic Data Engineering Manager to lead a team designing and delivering cloud analytics solutions focused on Databricks. You will translate business requirements into scalable data architectures, mentor engineers, and manage client relationships across diverse engagements.

In this role, you will drive end-to-end data pipelines, ensure data governance and security, and collaborate with stakeholders to deliver tangible business value. Travel may be required based on client needs.

Qualifications

• Bachelor’s degree in computer science, engineering, or related field required; Master’s degree preferred.
• Typically, 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.
• Excellent problem‑solving skills and the ability to work independently and as part of a team.
• Strong communication and interpersonal skills, with a focus on client management.

Responsibilities

• Leading workstream delivery and ensuring quality in all processes.
• Engaging with clients daily, actively participating in working sessions, and identifying opportunities for additional services.
• Implementing resource plans and budgets while managing engagement economics.
• Designing, building, and operating scalable data architecture and modeling solutions.
• Continuing to learn industry trends to maintain a competitive edge.

Skills

Databricks

Cloud platforms

Data architecture

Team leadership

Client management

Data governance

Data pipelines

Python

SQL

Spark

AI practices

Education

Bachelor’s degree in CS/Engineering

Master’s preferred

Tools

Databricks

Job description

EY is seeking a dynamic Data Engineering Manager to lead a team designing and delivering cloud analytics solutions focused on Databricks. You will translate business requirements into scalable data architectures, mentor engineers, and manage client relationships across diverse engagements.

In this role, you will drive end-to-end data pipelines, ensure data governance and security, and collaborate with stakeholders to deliver tangible business value. Travel may be required based on client needs.