Cloud & Data Engineering Manager: Lead Scalable Pipelines

EY; Houston (TX); 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 across the full platform lifecycle. You will own workstreams, architecture, pipelines, and governance while guiding teams and managing budgets and client interactions.

The role requires 4–6 years of Azure HA experience, Kubernetes, Terraform, CI/CD, and GenAI awareness, with hands-on delivery and cross-functional collaboration across data, software, AI, and cloud

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)
• Experience designing, deploying and managing container orchestration platforms using Kubernetes
• Experience implementing SLIs, SLOs and Error Budgets as part of development/delivery practices
• Experience with infrastructure automation using Terraform
• Experience monitoring container based microservices & Cloud Platform services
• Use of CI/CD tools - preferably GitHub Actions, Azure DevOps
• Understanding agile methodology and working by its principles
• Strong analytical and problem-solving skills

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
• Remain hands-on: tested, version-controlled, observable code
• Work closely with development teams and participate in planning for availability, reliability and performance
• Design, provision, and run the underlying cloud and container platform used in production
• Build scalable pipelines and streaming architectures using Python/SQL and cloud platforms
• Understand data architecture, modelling, integration, quality, security, ontologies and semantic layers
• Understand quality assurance and testing practices
• Understand cloud and distributed-system architecture and production path using Kubernetes and IaC
• Incorporate GenAI/LLM capabilities where relevant
• Demonstrate proficiency in Agile delivery and development methodologies
• Embed governance, observability, controls and operational support

Skills

Azure Functions

Azure Container Apps

Azure SQL Database

Azure Blob Storage

Azure Kubernetes Service (AKS)

Azure Monitor

Terraform

GitHub Actions

Azure DevOps

Kubernetes

SRE

CI/CD

Agile

GenAI/LLM

Cloud Architecture

Education

Bachelor's degree

4-year degree

Tools

Terraform

GitHub Actions

Azure DevOps

Job description

EY is seeking a Data and Cloud Engineering Manager to turn data and AI capabilities into scalable, reliable production solutions across the full platform lifecycle. You will own workstreams, architecture, pipelines, and governance while guiding teams and managing budgets and client interactions.

The role requires 4–6 years of Azure HA experience, Kubernetes, Terraform, CI/CD, and GenAI awareness, with hands-on delivery and cross-functional collaboration across data, software, AI, and cloud