GCP Data Engineer - AI-Driven Platform & GenAI

Stefanini Group; Dearborn (MI); On-site; USD 130,000 - 170,000; Full time

Job summary

Stefanini Group in Dearborn, MI is seeking a Senior Cloud Database Engineer to define strategy and architecture for cloud databases on Google Cloud Platform, embedding AI/GenAI capabilities into data systems at scale.

You will lead patterns for MCP integration, automate lifecycle tasks with AI, and collaborate with AI/ML teams to build scalable, secure data platforms using SQL and NoSQL databases. A Bachelor’s degree and strong GCP experience are required.

Qualifications

• 6+ years of IT experience with at least 4+ years in development.
• 5+ years in database engineering with a focus on GCP AI enablement.
• Experience with Gemini Enterprise and understanding of MCP or equivalent patterns.
• Hands-on experience with GCP databases including Cloud SQL, AlloyDB, Spanner, Firestore, Memorystore, MongoDB, and BigQuery.
• Knowledge of GCP IAM, encryption, and CI/CD practices.
• Experience building Internal Developer Platforms (IDPs).
• GCP Professional Cloud Database Engineer or Data Engineer.
• Proficiency in Terraform and programming (Python/Java).
• Experience with Kubernetes (GKE) and database operators.
• Understanding of statistical analysis, data modeling, and ML libraries.

Responsibilities

• Lead adoption of Gemini Enterprise for query generation, debugging, and schema optimization.
• Define patterns for integrating Model Context Protocol (MCP) with databases for contextual AI interactions.
• Identify and implement AI-driven automation across the database lifecycle, including capacity planning, anomaly detection, and self-tuning.
• Partner with AI/ML teams to integrate ML, statistical models, and GenAI into data platform strategies.
• Build intelligent agents on database AI frameworks to improve fault detection and reduce OLTP costs.
• Establish enterprise standards for metadata, including tagging, classification, lineage, and discoverability.
• Promote well-documented, discoverable datasets.
• Align with GDPR and HIPAA frameworks; manage GCP IAM, service accounts, role bindings, and encryption.
• Apply reliability practices to ensure availability, fault tolerance, and disaster recovery.
• Lead query optimization, indexing strategies, and troubleshooting across distributed systems.
• Enable secure CI/CD pipelines for database code and configurations.
• Establish scalable, secure, self-service database architectures on GCP.
• Build and maintain Terraform templates for automated provisioning and lifecycle management.
• Architect across SQL (SQL Server, PostgreSQL, MySQL, AlloyDB, Spanner) and NoSQL (MongoDB, Firestore, Bigtable, Memorystore, Neo4j) with Cloud Functions and Cloud Run.
• Develop complex data models and reliable ETL pipelines integrating multiple data sources.
• Advise engineering, data, and AI teams on best practices.
• Foster an AI-assisted, platform-first culture and mentor engineers.

Skills

GCP

Education

Bachelor's Degree

Tools

Terraform

Job description

Stefanini Group in Dearborn, MI is seeking a Senior Cloud Database Engineer to define strategy and architecture for cloud databases on Google Cloud Platform, embedding AI/GenAI capabilities into data systems at scale.

You will lead patterns for MCP integration, automate lifecycle tasks with AI, and collaborate with AI/ML teams to build scalable, secure data platforms using SQL and NoSQL databases. A Bachelor’s degree and strong GCP experience are required.