Data Engineering Manager: Cloud Analytics & Leadership

EY; San Diego (CA); Remote; USD 126,000 - 230,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension & 401(k)

Paid time off

Job summary

EY is seeking a dynamic and experienced Manager of Data Engineering to lead our team in designing and implementing complex cloud analytics solutions. The ideal candidate will combine deep data architecture expertise with cloud technologies and strong leadership to deliver measurable business value for clients.

You will lead workstreams, mentor data engineers, manage client relationships, and collaborate with stakeholders to translate requirements into scalable data pipelines.

Qualifications

• Bachelor’s degree in computer science, engineering, or related field.
• Typically, 4–6 years in data engineering with cloud analytics.
• Strong background in data architecture and cloud analytics.
• Experience leading and mentoring teams.
• Excellent problem-solving and client management skills.
• Strong communication and interpersonal skills.

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.

Skills

Cloud data engineering

Data architecture

Leadership

Client management

Data governance

Stakeholder communication

Project management

Problem solving

Cloud platforms (AWS, Azure, GCP)

Education

Bachelor’s degree in CS/Engineering or related field

Master’s degree preferred

Tools

AWS

Azure

GCP

Job description

EY is seeking a dynamic and experienced Manager of Data Engineering to lead our team in designing and implementing complex cloud analytics solutions. The ideal candidate will combine deep data architecture expertise with cloud technologies and strong leadership to deliver measurable business value for clients.

You will lead workstreams, mentor data engineers, manage client relationships, and collaborate with stakeholders to translate requirements into scalable data pipelines.