Azure Cloud Platform Lead — Data & AI Operations

LAM RESEARCH Corporation; Fremont (CA); Hybrid; USD 137,000 - 287,000; Full time

Job summary

Lam Research is seeking an experienced Cloud Data Platform Technology Lead to design, implement, and manage cloud data solutions with a primary focus on Azure. The role requires leadership in cloud architecture, governance, and operations across hybrid environments, with AWS/GCP exposure as a bonus.

This hands-on leadership position emphasizes architecture, automation, and cost efficiency while mentoring senior engineers and collaborating with cross-functional teams to deliver secure, scalable

Qualifications

• 12+ years in cloud engineering, platform operations, or large-scale data/technology modernization.
• Experience designing and operating Azure-focused cloud environments; AWS or GCP is a plus.
• Strong knowledge of cloud governance, security controls, IAM, monitoring, and disaster recovery.

Responsibilities

• Lead design, deployment, and management of scalable, secure cloud data solutions on Azure (with AWS/GCP support).
• Define cloud architecture standards, participate in reviews, and promote well-architected framework principles.
• Develop and align cloud strategy with governance and operations goals.
• Provision and manage Azure resources (VMs, containers, serverless, IaaS/PaaS/SaaS).
• Mentor senior engineers and drive cloud engineering communities of practice.

Skills

Azure

AWS

GCP

Cloud architecture

IaC

Security

Governance

Leadership

Education

Bachelor’s degree

Tools

Terraform

CI/CD tooling

Job description

Lam Research is seeking an experienced Cloud Data Platform Technology Lead to design, implement, and manage cloud data solutions with a primary focus on Azure. The role requires leadership in cloud architecture, governance, and operations across hybrid environments, with AWS/GCP exposure as a bonus.

This hands-on leadership position emphasizes architecture, automation, and cost efficiency while mentoring senior engineers and collaborating with cross-functional teams to deliver secure, scalable