Director, Cloud Platform Engineering

Ford Motor Company

. Set Ford's multi-year strategic roadmap for cloud databases and analytics platforms .

Posted 10/10/2026full-timeRemote • Michigan • United StatesLead💰 $141,700 - $268,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in cloud database architecture and analytics platforms, with a strong focus on Infrastructure-as-Code practices and platform engineering leadership. Proven ability to manage large-scale database environments on GCP and drive cost optimization initiatives.

Highest-signal resume keywords

Cloud Database ArchitectureInfrastructure-as-CodePlatform Engineering LeadershipGCP Database PlatformsSaaS Database Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud SQLSpannerAlloyDBBigTableFirestoreBigQueryInfrastructure-as-Code ToolingDevOps PracticesCI/CDAutomation

Soft Skills

MentoringLeadershipCollaborationNegotiationCommunication

Tools & Technologies

MongoDBNeo4JElasticRedisKnowledge CatalogConversational Analytics

Certifications & Qualifications

Bachelor's DegreeMaster's Degree Preferred

Industry Keywords

Cloud Database-as-a-ServiceData Platform ServicesCost OptimizationAgentic AIMCP Servers

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformMongoDBNeo4jRedisSQL

About the role

Key responsibilities & impact

Set Ford's multi-year strategic roadmap for cloud databases and analytics platforms
Establish a platform engineering mindset using self-service APIs, golden paths, paved roads, and clear SLOs
Define, provision, and manage database and analytics infrastructure through version-controlled, testable Infrastructure-as-Code
Build, mentor, and lead a global team of platform engineers, architects, and SREs
Architect and operate GCP-native database platforms across Cloud SQL, Spanner, AlloyDB, BigTable, and Firestore
Own platform engineering for BigQuery and the broader analytics stack
Build governed, self-service data pipelines and reusable analytics tooling
Create golden-path templates, service APIs, and IaC-based automation
Own Ford's Cloud Database-as-a-Service strategy
Define database architecture patterns for fit-for-purpose technology selection
Partner with Product Development Organizations on design reviews, reference architectures, and reusable templates
Lead enterprise-wide SaaS database consolidation and cost optimization
Manage platform lifecycle activities including versioning, patching, upgrades, end-of-life tracking, and decommissioning
Manage vendor contracts and negotiate enterprise agreements
Define Ford's Agentic Data Cloud strategy
Provide patterns for database MCP servers
Lead Knowledge Catalog deployment and Conversational Analytics rollout
Define guardrails and human-in-the-loop controls aligned with Ford's Agentic AI Rubric
Partner with Google product and engineering teams on proof-of-concept design and service launch frameworks

Requirements

What you’ll need

15+ years in software engineering, cloud architecture, and data platform services, including significant leadership experience
Proven platform engineering ownership of large-scale database and analytics environments on GCP, including Cloud SQL, Spanner, AlloyDB, BigTable, Firestore, and BigQuery
Strong hands-on experience with Infrastructure-as-Code tooling and practices
Direct experience with SaaS database platforms including MongoDB, Neo4J, Elastic, and Redis
Experience with consolidation and cost-optimization initiatives at enterprise scale
Demonstrated success owning DBaaS and defining fit-for-purpose database architecture patterns adopted by application/product teams
Experience with agentic AI and data platform concepts, including MCP servers, Knowledge Catalog, Conversational Analytics, and AI governance frameworks
Strong background in DevOps/SRE practices, automation, CI/CD, and observability
Bachelor's degree required
Must be legally authorized to work in the United States
Visa sponsorship is not available
Master's degree preferred

Benefits

Comp & perks

Immediate medical, dental, vision and prescription drug coverage
Flexible family care days
Paid parental leave
New parent ramp-up programs
Subsidized back-up child care
Family building benefits including adoption and surrogacy expense reimbursement
Fertility treatments
Vehicle discount program for employees and family members
Management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
Generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off
Option to purchase additional vacation time