Remote Director, Cloud Data Platform & Analytics

Lincoln Motor Company

Phoenix (AZ)

On-site

USD 142,000 - 268,000

Full time

4 days ago
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Benefits offered by this job

Medical, dental, vision
Vehicle discount program
Tuition assistance
Paid holidays and time off

Job summary

Ford Motor Company is seeking a Director, Cloud Platform Engineering to own strategy, architecture, and engineering of Ford's cloud databases and analytics platforms on Google Cloud Platform. This leader will bring a product-minded, automation-first approach to platform engineering across the data estate.

You will build a global team, drive Infrastructure-as-Code, and foster partnerships with cloud vendors to optimize costs and accelerate AI initiatives across the enterprise.

Qualifications

  • 15+ years in software engineering, cloud architecture, and data platforms.
  • Proven ability to lead platform engineering for large-scale databases and analytics on GCP.
  • Bachelor's degree required; advanced degree preferred.

Responsibilities

  • Define multi-year roadmap for cloud databases and analytics at Ford.
  • Lead global platform engineers, architects, and SREs.
  • Drive IaC-driven provisioning, security, and observability.
  • Oversee DBaaS strategy and fit-for-purpose patterns.
  • Lead SaaS consolidation and cost optimization.

Skills

Cloud Platform Leadership
GCP Platform Experience
IaC (Infrastructure as Code)
Databases & DBaaS
DevOps/SRE
Executive communication

Education

Bachelor's degree in CS or Engineering

Tools

GCP
Cloud SQL
Spanner
AlloyDB
BigQuery
Firestore
MongoDB
Neo4J
Redis

Job description

Ford Motor Company is seeking a Director, Cloud Platform Engineering to own strategy, architecture, and engineering of Ford's cloud databases and analytics platforms on Google Cloud Platform. This leader will bring a product-minded, automation-first approach to platform engineering across the data estate.

You will build a global team, drive Infrastructure-as-Code, and foster partnerships with cloud vendors to optimize costs and accelerate AI initiatives across the enterprise.

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