Director, Cloud Platform Engineering — Data & AI Cloud

Lincoln Motor Company

Jackson (MS)

On-site

USD 142,000 - 268,000

Full time

4 days ago
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Benefits offered by this job

Medical coverage
Dental coverage
Vision coverage
Paid time off
Parental leave
Tuition assistance
Vehicle discount program

Job summary

Ford Motor Company seeks a visionary Director, Cloud Platform Engineering – Data, Analytics & Agentic Data Cloud to lead the strategy, architecture, and engineering of Ford's cloud databases and analytics platforms on Google Cloud. The role emphasizes product-minded, automation-first platform engineering across DBaaS and governance for PDO workloads.

You will mentor a global team, drive Saas consolidation, define architecture patterns, and partner with vendors to embed scalable, self-service

Qualifications

  • 15+ years in software engineering, cloud architecture, and data platform services with leadership experience.
  • Experience owning DBaaS and large-scale database/analytics environments on GCP.
  • Strong hands-on IaC tooling and automation across platforms.

Responsibilities

  • Set multi-year strategic roadmap for cloud databases and analytics.
  • Lead global platform engineering teams of engineers, architects, and SREs.
  • Own cost-optimization strategy for data platform portfolio.

Skills

Platform leadership
Cloud architecture
GCP experience
IaC / automation
DevOps / SRE
Executive communication

Education

Bachelor's degree required
Master's degree preferred

Tools

Cloud SQL
Spanner
AlloyDB
BigTable
Firestore
BigQuery
MongoDB
Neo4J
Redis

Job description

Ford Motor Company seeks a visionary Director, Cloud Platform Engineering – Data, Analytics & Agentic Data Cloud to lead the strategy, architecture, and engineering of Ford's cloud databases and analytics platforms on Google Cloud. The role emphasizes product-minded, automation-first platform engineering across DBaaS and governance for PDO workloads.

You will mentor a global team, drive Saas consolidation, define architecture patterns, and partner with vendors to embed scalable, self-service

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