Director of Cloud Platform Engineering — Data & AI (Remote)

Lincoln Motor Company

Santa Fe (NM)

Vor Ort

USD 142.000 - 268.000

Vollzeit

Vor 5 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Medical, dental, vision coverage
Paid time off
Vehicle discount program

Zusammenfassung

Ford Motor Company seeks a visionary Director, Cloud Platform Engineering to own strategy, architecture, and engineering of Ford's cloud database and analytics platforms on Google Cloud. Lead a global team, drive IaC-driven automation, and shape Agentic Data Cloud initiatives for AI-enabled data governance and collaboration.

You’ll guide platform services, consolidate SaaS databases, and deliver scalable, secure data pipelines with self-service access and strong cost controls.

Qualifikationen

  • 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.
  • Hands-on IaC, automation, and cost-optimisation across data platforms.

Aufgaben

  • Set a multi-year strategic roadmap for cloud databases and analytics platforms.
  • Lead global platform engineers, architects, and SREs with a strong DevOps culture.
  • Own DBaaS strategy and cost optimization across SaaS database products.
  • Build self-service APIs, golden paths, and SLO-driven internal products.
  • Partner with PDO teams to apply fit-for-purpose database patterns.

Kenntnisse

Cloud architecture
Data platform
Leadership experience
GCP expertise
DevOps/SRE

Ausbildung

Bachelor's degree

Tools

GCP services
IaC tooling

Jobbeschreibung

Ford Motor Company seeks a visionary Director, Cloud Platform Engineering to own strategy, architecture, and engineering of Ford's cloud database and analytics platforms on Google Cloud. Lead a global team, drive IaC-driven automation, and shape Agentic Data Cloud initiatives for AI-enabled data governance and collaboration.

You’ll guide platform services, consolidate SaaS databases, and deliver scalable, secure data pipelines with self-service access and strong cost controls.

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