Cloud Data Engineering Manager: Lead Analytics & Architecture

EY; Jacksonville (FL); Remote; USD 126,000 - 230,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

EY in the United States is seeking a Data Engineering Manager to lead a team designing and implementing advanced cloud analytics solutions. You will shape data architectures, guide projects end-to-end, and partner with clients and stakeholders to deliver measurable business value.

The role requires strong technical and leadership skills, experience across AWS/Azure/GCP, and a proven ability to mentor engineers, manage budgets, and drive innovation in a fast-paced consulting environment.

Qualifications

• Bachelor’s degree in computer science, engineering, or a related field.
• Typically, 4–6 years relevant experience in data engineering with a focus on cloud data solutions and analytics.
• 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.
• Excellent problem-solving skills and the ability to work independently and as part of a team.

Responsibilities

• Lead design and delivery of scalable data engineering solutions on cloud platforms.
• Manage workstreams and ensure quality across processes.
• Engage with clients daily to identify opportunities and manage expectations.
• Define resource plans and budgets for engagements.

Skills

Data engineering

Cloud platforms

Team leadership

Client mgmt

Data governance

Education

Bachelor’s degree in CS/Engineering

Master’s degree preferred

Tools

AWS

Azure

GCP

Job description

EY in the United States is seeking a Data Engineering Manager to lead a team designing and implementing advanced cloud analytics solutions. You will shape data architectures, guide projects end-to-end, and partner with clients and stakeholders to deliver measurable business value.

The role requires strong technical and leadership skills, experience across AWS/Azure/GCP, and a proven ability to mentor engineers, manage budgets, and drive innovation in a fast-paced consulting environment.