Cloud & Data Engineering Manager — Lead AI-Driven Platforms

EY; McLean (VA); Remote; USD 126,000 - 230,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off options

Job summary

EY seeks a Data and Cloud Engineering Manager to translate client requirements into scalable data and AI production platforms across architecture, ingestion, transformation and governance. You will own workstreams, budgets and client engagement while mentoring technical talent.

Bring deep Azure experience, Kubernetes orchestration, Terraform automation and CI/CD practices. Lead teams delivering reliable, observable services with governance and strong customer outcomes.

Qualifications

• A bachelor’s degree required (4-year degree).
• Typically 4–6 years of relevant experience.
• Proven record operating High Availability services on Azure (4+ years).
• Experience with Terraform for infrastructure automation.
• Experience with CI/CD tools, preferably GitHub Actions or Azure DevOps.

Responsibilities

• Lead one or more technical workstreams and assure delivery quality.
• Translate business and client requirements into architecture and pipelines.
• Maintain daily client engagement and identify service opportunities.
• Manage resource plans, budgets, and engagement economics.
• Own problems from source through data pipeline to production handoff.
• Automate and optimize processes across cross-functional teams.

Skills

Azure services

Kubernetes

Python

SQL

Terraform

GitHub Actions

Azure DevOps

Agile

Data pipelines

SRE principles

Education

Bachelor's degree (4-year)

Tools

Terraform

Azure DevOps

GitHub Actions

Azure Container Apps

AKS

Job description

EY seeks a Data and Cloud Engineering Manager to translate client requirements into scalable data and AI production platforms across architecture, ingestion, transformation and governance. You will own workstreams, budgets and client engagement while mentoring technical talent.

Bring deep Azure experience, Kubernetes orchestration, Terraform automation and CI/CD practices. Lead teams delivering reliable, observable services with governance and strong customer outcomes.