Cloud & Data Engineering Manager: Lead Data Pipelines & AI

EY; Boca Raton (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 options

Job summary

EY seeks a Data and Cloud Engineering Manager to translate data and AI capabilities into scalable, reliable production solutions. You will own workstreams, manage budgets, and lead cross-functional teams across data, software, AI/ML, and cloud platforms.

The role requires 4–6 years of relevant experience and strong Azure/Kubernetes expertise, Terraform, and GitHub Actions, plus leadership and communication skills. EY offers a competitive Total Rewards package and growth opportunities.

Qualifications

• Bachelor’s degree required (4-year)
• Typically 4–6 years of relevant experience
• Proven record operating High Availability services on Azure
• Experience with Kubernetes and container orchestration
• Experience with Terraform and CI/CD tools
• Knowledge of SRE, SLIs/SLOs, and monitoring practices

Responsibilities

• Lead one or more technical workstreams and assure delivery quality
• Translate requirements into architecture, pipelines, models, and production platforms
• Maintain daily client engagement and identify service opportunities
• Manage resource plans, budgets and engagement economics
• Own data pipelines from source to production handoff
• Embed governance, observability, and operational support across teams
• Work with Dev and data teams to meet availability, reliability, and performance targets
• Design and run cloud and container platforms used by application teams

Skills

Azure

Kubernetes

CI/CD

Agile

Data engineering

Team leadership

Education

Bachelor’s degree

Tools

Terraform

GitHub Actions

Azure DevOps

AKS

Job description

EY seeks a Data and Cloud Engineering Manager to translate data and AI capabilities into scalable, reliable production solutions. You will own workstreams, manage budgets, and lead cross-functional teams across data, software, AI/ML, and cloud platforms.

The role requires 4–6 years of relevant experience and strong Azure/Kubernetes expertise, Terraform, and GitHub Actions, plus leadership and communication skills. EY offers a competitive Total Rewards package and growth opportunities.