Director, Cloud Data Platform & AI Engineering

Lincoln Motor Company

Montpelier (VT)

Remote

USD 142,000 - 268,000

Full time

3 days ago
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Benefits offered by this job

Medical benefits
Vehicle discount program
Tuition assistance
Paid time off
Paid holidays

Job summary

Ford Motor Company is seeking a Director of Cloud Platform Engineering to own strategy, architecture, and engineering of Ford's cloud database and analytics platforms on GCP. Lead a global team delivering IaC-driven, self-service data platforms and DBaaS, while optimizing SaaS database consolidation and cost.

You will drive a multi-year roadmap, partner with vendors, and champion a platform-first culture across PDOs to enable scalable, secure analytics capabilities.

Qualifications

  • Bachelor's degree required; 15+ years in software engineering and data platform services.
  • Proven ownership of large-scale database and analytics environments on GCP.
  • Strong hands-on experience with Infrastructure-as-Code, DevOps/SRE practices, and SaaS consolidation.

Responsibilities

  • Set a multi-year strategic roadmap for cloud databases and analytics.
  • Promote platform engineering mindset with self-service APIs and gold en paths.
  • Drive IaC-driven provisioning and automation for database and analytics.
  • Partner with cloud and SaaS vendors to expand capabilities.
  • Lead and mentor a global team of engineers, architects, and SREs.

Skills

Platform engineering
Cloud architecture
GCP expertise
Infrastructure as Code
Leadership
SaaS databases
DevOps / SRE

Education

Bachelor's degree

Tools

Terraform
Kubernetes
CI/CD

Job description

Ford Motor Company is seeking a Director of Cloud Platform Engineering to own strategy, architecture, and engineering of Ford's cloud database and analytics platforms on GCP. Lead a global team delivering IaC-driven, self-service data platforms and DBaaS, while optimizing SaaS database consolidation and cost.

You will drive a multi-year roadmap, partner with vendors, and champion a platform-first culture across PDOs to enable scalable, secure analytics capabilities.

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