Director, Cloud Platform Engineering — Data & Analytics

Lincoln Motor Company; Madison (WI); Presencial; USD 142 000 - 268 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical coverage

Parental leave

Tuition assistance

Resumo da oferta

Ford Motor Company is seeking a visionary Director, Cloud Platform Engineering – Data, Analytics & Agentic Data Cloud to own strategy, architecture, and engineering of Ford's cloud database and analytics platforms on Google Cloud.

This leader will drive an IaC-driven, self‑service platform and lead a global team of engineers, architects, and SREs while partnering with PDOs to select fit-for-purpose databases and reduce SaaS sprawl.

Qualificações

• 15+ years in software engineering and data platform services.
• Proven leadership of large-scale database and analytics on GCP.
• Hands-on experience with IaC and automation.
• Experience consolidating SaaS databases and optimizing costs.
• Bachelor's degree required; Master's preferred.

Responsabilidades

• Define a multi-year platform engineering roadmap for cloud databases.
• Lead a global team of platform engineers, architects, and SREs.
• Drive IaC-based provisioning and automation for databases and analytics.
• Consolidate SaaS databases and reduce licensing and support costs.
• Partner with PDO teams to embed architecture patterns and templates.

Conhecimentos

Cloud platform engineering

GCP expertise

Infrastructure as Code

Leadership & team-building

Cost optimization

Formação académica

Bachelor's degree required

Master's degree preferred

Ferramentas

Cloud SQL

Spanner

AlloyDB

BigQuery

Firestore

MongoDB

Neo4J

Redis

Terraform

Descrição da oferta de emprego

Ford Motor Company is seeking a visionary Director, Cloud Platform Engineering – Data, Analytics & Agentic Data Cloud to own strategy, architecture, and engineering of Ford's cloud database and analytics platforms on Google Cloud.

This leader will drive an IaC-driven, self‑service platform and lead a global team of engineers, architects, and SREs while partnering with PDOs to select fit-for-purpose databases and reduce SaaS sprawl.