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Principal Cloud Database Engineer
Ford Motor CompanyPrincipal Cloud Database Engineer leading modernization initiatives with Google Cloud Platform services. Integrating AI-driven capabilities into database operations and ensuring performance and scalability.
Posted 7/15/2026full-timeRemote • Missouri • 🇺🇸 United StatesLead💰 $115,000 - $192,900 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading the architecture and engineering of GCP relational database platforms, implementing enterprise standards, and driving modernization initiatives. Proficient in database automation, performance tuning, and integrating AI/ML capabilities into database solutions.
Highest-signal resume keywords
GCP Relational Database EngineeringDatabase Migration StrategiesInfrastructure-as-Code (IaC) with TerraformPerformance Tuning and OptimizationAI/ML Integration in Database Platforms
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
PostgreSQLSQL ServerAlloyDBCloud SpannerDatabase AutomationPerformance TuningBackup and RecoveryDevOps PracticesCI/CD PipelinesTerraform
Tools & Technologies
DMSStriimCloud SQLIAMVPCPrivate Service AccessPrivate Service Connect
Industry Keywords
Database GovernanceCost OptimizationDisaster RecoveryMonitoring and LoggingHigh Availability Architectures
Tech Stack
Tools & technologiesCloudGoGoogle Cloud PlatformJavaMySQLPostgresPythonSQLTerraform
About the role
Key responsibilities & impact- Lead architecture design and engineering for GCP relational database platforms (Cloud SQL for PostgreSQL, Cloud SQL for SQL Server, AlloyDB, Spanner).
- Define and implement enterprise database standards aligned with security, scalability, and performance best practices.
- Drive modernization initiatives including database migrations to GCP using tools such as DMS, Striim and migration frameworks.
- Design highly available, resilient, and cost-optimized database solutions on GCP.
- Implement infrastructure-as-code (IaC) using tools such as Terraform.
- Enable secure connectivity patterns (IAM, VPC, Private Service Access, Private Service Connect, serverless integrations).
- Lead Cloud Databases financial accounting, performance tuning, capacity planning, and database reliability engineering.
- Integrate AI/ML capabilities into database platforms (e.g., MCP, data agents, context engineering, anomaly detection, query optimization).
- Consult with application teams to enable data pipelines for AI/ML workloads.
- Evaluate and adopt AI-assisted database operations and automation solutions.
- Drive initiatives on AI-enabled observability and self-healing systems.
- Establish best practices for backup, recovery, disaster recovery, and compliance.
- Define monitoring, logging, and alerting strategies for database services.
- Lead database governance and continuous cost optimization initiatives.
Requirements
What you’ll need- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
- 10+ years of experience in relational database engineering (PostgreSQL, SQL Server, MySQL, AlloyDB or Spanner).
- 5+ years of hands-on experience with GCP, especially:
- Cloud SQL for PostgreSQL and/or Cloud SQL for SQL Server
- AlloyDB
- Cloud Spanner
- Strong expertise in:
- Database platform automation, design, indexing, and performance tuning
- Backup/recovery and high availability architectures
- Migration strategies and tools (e.g., DMS, Striim, replication tools)
- Experience with DevOps practices, CI/CD pipelines, and IaC.
- Programming experience (Terraform, Python, Java, or Go).
Benefits
Comp & perks- Immediate medical, dental, and prescription drug coverage
- Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
- Vehicle discount program for employees and family members, and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
- Paid time off and the option to purchase additional vacation time.