Cloud & Data Engineering Manager: Lead Data Platforms

EY; Oklahoma City (OK); Remote; USD 126,000 - 251,000; Full time

Benefits offered by this job

Medical and dental coverage

401(k) plan

Paid time off

Job summary

EY is seeking a Data and Cloud Engineering Manager to turn data and AI capabilities into scalable, reliable production solutions across cloud platforms (Azure, AWS, GCP). You will own workstreams, manage budgets, and drive cross-functional delivery with a focus on governance and observability.

The role emphasizes hands-on engineering, team development, and strong client interaction to deliver high-availability services and scalable architectures for complex data assets.

Qualifications

• Bachelor’s degree required (4-year degree).
• Typically 4–6 years of relevant experience.
• Proven record operating High Availability services on Azure.
• Experience with Terraform and Kubernetes.

Responsibilities

• Lead one or more technical workstreams and assure delivery quality.
• Translate business and client requirements into architecture, pipelines, models, semantic layers or production platforms.
• Maintain daily client engagement and identify adjacent service opportunities.
• Manage resource plans, budgets and engagement economics.
• Own problems from raw source through data pipeline, model/analysis and production handoff.
• Automate, optimize and drive efficiency across cross-functional teams.

Skills

Azure stack expertise (Functions, App/

Education

Bachelor’s degree (4-year)

Tools

Terraform

GitHub Actions

Azure DevOps

Kubernetes

Job description

EY is seeking a Data and Cloud Engineering Manager to turn data and AI capabilities into scalable, reliable production solutions across cloud platforms (Azure, AWS, GCP). You will own workstreams, manage budgets, and drive cross-functional delivery with a focus on governance and observability.

The role emphasizes hands-on engineering, team development, and strong client interaction to deliver high-availability services and scalable architectures for complex data assets.