Cloud & Data Engineering Manager — Lead Data Platforms

EY; Kansas City (MO); Remote; USD 126,000 - 230,000; Full time

Job summary

EY is seeking a Data and Cloud Engineering Manager to turn data and AI capabilities into scalable, reliable production solutions. You will lead data pipelines, cloud platforms and governance, spanning Azure, AWS, and GCP with a focus on availability and performance.

You will work with Azure services, Kubernetes, and automation tools, shaping client engagements and growth while mentoring teams and delivering high-value outcomes.

Qualifications

• Bachelor’s degree is required (4-year degree).
• Typically, no less than 4–6 years of relevant experience.
• Proven track record operating high-availability services on Azure (4+ years).
• Expert understanding of core Azure services (Azure Functions, AKS, Azure SQL DB, Blob Storage, AKS).
• Experience designing and managing container orchestration with Kubernetes.

Responsibilities

• Lead one or more technical workstreams and assure delivery quality.
• Translate business and client requirements into architecture and production platforms.
• Maintain daily client engagement and identify adjacent service opportunities.
• Manage resource plans, budgets and engagement economics.
• Own problems from source through data pipeline to production handoff.
• Incorporate GenAI/LLM capabilities where relevant and ensure governance and observability.

Skills

Azure

Kubernetes

Terraform

CI/CD

Azure DevOps

GitHub Actions

SRE practices

Education

Bachelor's degree (4-year)

Tools

Terraform

GitHub Actions

Azure DevOps

Azure Functions

AKS

Azure Monitor

Job description

EY is seeking a Data and Cloud Engineering Manager to turn data and AI capabilities into scalable, reliable production solutions. You will lead data pipelines, cloud platforms and governance, spanning Azure, AWS, and GCP with a focus on availability and performance.

You will work with Azure services, Kubernetes, and automation tools, shaping client engagements and growth while mentoring teams and delivering high-value outcomes.