Director, Cloud Platform Engineering — Remote & AI Data

Lincoln Motor Company; Lansing (MI); On-site; USD 142,000 - 268,000; Full time

Benefits offered by this job

Immediate medical, dental, vision

Family and parental leave

Vehicle discount program

Tuition assistance

Paid time off and holidays

Job summary

Ford Motor Company seeks a visionary Director of Cloud Platform Engineering to own strategy, architecture, and engineering of Ford's cloud database and analytics platforms on Google Cloud Platform. This role emphasizes a product-minded, automation-first approach with Infrastructure-as-Code across the data estate.

You will lead a global team of platform engineers and drive consolidation of SaaS databases while partnering with product teams to define fit-for-purpose architectures and self-service

Qualifications

• 15+ years in software engineering, cloud architecture, and data platform services with leadership experience.
• Proven ownership of large-scale database and analytics environments on GCP.
• Strong IaC, DevOps/SRE, automation, and cost-optimization background.

Responsibilities

• Lead platform engineering for cloud databases and analytics with a multi-year strategic roadmap.
• Drive IaC-driven provisioning, security, and observability across the data estate.
• Own DBaaS strategy, SaaS consolidation, and cost-optimization initiatives at enterprise scale.

Skills

Platform engineering leadership

Cloud architecture

Infrastructure as Code

DevOps / SRE practices

Executive communication

Education

Bachelor's degree required

Master's degree preferred

Tools

GCP ecosystem

MCP servers

Knowledge Catalog

AI governance

Job description

Ford Motor Company seeks a visionary Director of Cloud Platform Engineering to own strategy, architecture, and engineering of Ford's cloud database and analytics platforms on Google Cloud Platform. This role emphasizes a product-minded, automation-first approach with Infrastructure-as-Code across the data estate.

You will lead a global team of platform engineers and drive consolidation of SaaS databases while partnering with product teams to define fit-for-purpose architectures and self-service