Principal Cloud Database Engineer

Cloud EngineerCloud EngineerFull TimeRemoteLeadTeam 10,001+Since 1903H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

14 days ago

Salary

$115K - $192.9K / year

Seniority

Lead

Job Description

Principal Cloud Database Engineer

Ford Motor Company

Role Description We are seeking a Principal Cloud Database Engineer (GCP & AI) to drive architecture, engineering, and innovation across enterprise-scale database platforms. This role will lead modernization efforts using Google Cloud Platform (GCP) services such as Cloud SQL, AlloyDB, and Spanner while integrating AI-driven capabilities into database operations and data platforms. The ideal candidate combines deep expertise in relational database systems and cloud architecture with hands-on exposure to AI/ML technologies to enable intelligent, automated, and scalable data solutions. Technical Leadership - 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. Cloud & Platform Engineering - 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. AI & Data Innovation - 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. Operational Excellence - 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. - Provide CUD evaluation and recommendations. Collaboration & Leadership - Mentor Summer Interns, Ford College Graduates, Cloud engineers, and Database Specialists; act as Subject Matter Expert for GCP relational databases. - Partner with application, DevOps, and architecture teams to deliver scalable solutions. - Influence platform strategy and roadmap for database and AI adoption. - Advocate with GCP product and engineering teams to enhance/mature GCP database services. Qualifications - 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 - 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.

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