Databricks Data Engineering Manager | Cloud Analytics

EY

Westlake Village (CA)

Remote

USD 190,000 - 230,000

Full time

3 hours ago
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Benefits offered by this job

Medical and dental coverage
Pension and 401(k)
Paid time off
Career development

Job summary

EY is seeking a dynamic Data Engineering Manager to lead a team in designing and implementing complex cloud analytics solutions with a focus on Databricks. You will translate business needs into technical outcomes while guiding a talented group of data engineers.

In this role you will manage client relationships, drive end-to-end data pipeline development, and mentor staff to deliver high-impact analytics programs across AWS, Azure, and GCP.

Qualifications

  • Bachelor’s degree in CS, Engineering, or related field; Master’s preferred.
  • 4–6 years of experience in data engineering with cloud analytics.
  • Proven Databricks expertise and Spark experience.
  • Hands-on AI-native data engineering practices.

Responsibilities

  • Lead workstream delivery with quality assurance.
  • Engage with clients daily, participate in working sessions, and identify opportunities.
  • Implement resource plans and manage engagement economics.
  • Design and build scalable analytics solutions delivering business value.

Skills

Databricks on cloud
Data governance
Client management
Leadership
Communication
Analytics
Python/Scala/SQL
Spark
Team mentoring
Cloud platforms

Education

Bachelor’s degree in computer science or related field
Master’s degree preferred

Tools

Databricks
Spark
GitHub Copilot
Cursor
Databricks Assistant
AWS
Azure
GCP

Job description

EY is seeking a dynamic Data Engineering Manager to lead a team in designing and implementing complex cloud analytics solutions with a focus on Databricks. You will translate business needs into technical outcomes while guiding a talented group of data engineers.

In this role you will manage client relationships, drive end-to-end data pipeline development, and mentor staff to deliver high-impact analytics programs across AWS, Azure, and GCP.

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