Director, Cloud Data Platform & AI (Remote)

Lincoln Motor Company

Olympia (WA)

On-site

USD 142,000 - 268,000

Full time

3 days ago
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Benefits offered by this job

Medical benefits
Paid time off
Vehicle discount

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 drives Database-as-a-Service patterns, cost optimization, and AI-enabled data capabilities across the enterprise.

You will lead a global team, embody an automation-first culture, and partner with PDOs to embed scalable data patterns.

Qualifications

  • 15+ years in software engineering, cloud architecture, and data platform services with leadership experience.
  • Proven ownership of large-scale DB/analytics environments on GCP (Cloud SQL, Spanner, AlloyDB, BigQuery).
  • Hands-on with IaC tooling and automation across platforms.
  • Experience consolidating SaaS databases (e.g., MongoDB, Neo4J, Redis).
  • Strong DevOps/SRE practices, automation, and observability.

Responsibilities

  • Set a multi-year strategic roadmap for cloud databases and analytics.
  • Treat databases and analytics as internal products with self-service APIs and SLOs.
  • Drive IaC-driven provisioning and automation for database infrastructure.
  • Partner with cloud and SaaS vendors to evolve platform capabilities.
  • Lead a global team of platform engineers, architects, and SREs.

Skills

Platform engineering
Cloud architecture
Leadership
Infrastructure as Code
DevOps / SRE
Cost optimization
AI governance

Education

Bachelor's degree

Tools

Terraform
GCP
CI/CD

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 drives Database-as-a-Service patterns, cost optimization, and AI-enabled data capabilities across the enterprise.

You will lead a global team, embody an automation-first culture, and partner with PDOs to embed scalable data patterns.

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