Principal Cloud Database Engineer
Company: Ford Motor Company
Location: Mi-Wuk Village, CA (Remote)
Salary: $115,000 - $192,900 a year
Type: Full-time
Remote: Yes
Posted: 2026-08-21
About this role
Job ID
66461
Location
Mi-Wuk Village, California, Remote
Category
Enterprise Technology
## Overview
At Ford, you’ll work on ideas that matter, alongside passionate people who want to make a global impact. Together, we’re shaping the next era of transportation—grounded in purpose, driven by progress. Make your move.
- Job Type: Full time
- Work Type: Remote
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 optimizat...