Cloud & Data Engineering Manager

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

Benefits offered by this job

Medical benefits

Pension and 401(k)

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. The role spans architecture, ingestion, governance, and production handoff across Azure, AWS, and GCP platforms.

You will own workstreams, manage budgets and client interactions, mentor technical staff, and drive agile delivery while embedding governance and observability across cloud services and data pipelines.

Qualifications

• Bachelor’s degree required (4-year degree).
• Typically, no less than 4–6 years of relevant experience.
• Proven record operating High Availability services on Azure (4+ years).

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, participate in working sessions 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 in processes, tools and communication across cross-functional teams.

Skills

Azure expertise

Kubernetes

SRE practices

Agile delivery

Client engagement

Education

Bachelor's degree

Tools

Azure Kubernetes Service (AKS)

Terraform

GitHub Actions

Azure DevOps

Azure Functions

Azure SQL Database

Job description

EY is seeking a Data and Cloud Engineering Manager to turn data and AI capabilities into scalable, reliable production solutions. The role spans architecture, ingestion, governance, and production handoff across Azure, AWS, and GCP platforms.

You will own workstreams, manage budgets and client interactions, mentor technical staff, and drive agile delivery while embedding governance and observability across cloud services and data pipelines.