Cloud & Data Engineering Manager: Lead Pipelines

EY; Huntsville (AL); À distance; USD 140 000 - 210 000; Plein temps

Avantages offerts par ce poste

Medical and dental coverage

Pension and 401(k)

Paid time off

Résumé du poste

EY seeks a Data and Cloud Engineering Manager in the United States to translate data and AI capabilities into scalable production solutions, spanning architecture, ingestion, transformation, governance and monitoring.

You will own workstreams, budgets, client interactions and engagement economics while leading technical talent and driving delivery quality across Azure, Kubernetes, and multi-cloud platforms.

Qualifications

• Bachelor's degree required (4-year degree).
• Typically 4–6 years of relevant experience.
• Proven record operating High Availability services on Azure (4+ years).
• Expert understanding of core Azure services (Functions, AKS, SQL, Blob Storage).
• Experience designing and managing Kubernetes container orchestration.

Responsabilités

• Lead one or more technical workstreams and assure delivery quality.
• Translate business requirements into architecture, pipelines, models or production platforms.
• Maintain daily client engagement and identify service opportunities.
• Manage resource plans, budgets and engagement economics.
• Own problems from raw source through data pipeline to production handoff.
• Build scalable pipelines and streaming architectures on cloud platforms.

Connaissances

Azure cloud

Kubernetes

Terraform

CI/CD

Azure Functions

Azure Container Apps

Azure SQL Database

Data engineering

Communication

Agile delivery

Formation

Bachelor's degree in a technical field

Outils

GitHub Actions

Azure DevOps

Prometheus

Description du poste

EY seeks a Data and Cloud Engineering Manager in the United States to translate data and AI capabilities into scalable production solutions, spanning architecture, ingestion, transformation, governance and monitoring.

You will own workstreams, budgets, client interactions and engagement economics while leading technical talent and driving delivery quality across Azure, Kubernetes, and multi-cloud platforms.