Highlights
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.
Numbers & Facts
| Location | MI, MI |
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.
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.
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.
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.