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...

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