Job Title: Senior Cloud Database Engineer (GCP + AI/GenAI Strategy)
Location: Dearborn, MI (Remote)
Overview / Summary
We are seeking a Senior Cloud Database Engineer with 15+ years of experience to join the Platform Engineering team. This role focuses on defining strategy, architecture, and standardized “golden paths” for cloud databases on Google Cloud Platform (GCP). The position goes beyond traditional database administration and includes shaping database platform vision, roadmap, and AI/GenAI integration for intelligent data systems at scale.
Key Responsibilities
AI-Driven Database Innovation
• Lead adoption of Gemini Enterprise for database engineering productivity (query generation, debugging, schema optimization)
• Define and implement Model Context Protocol (MCP) patterns for contextual AI interactions with databases
• Identify and implement AI-driven automation across database lifecycle (capacity planning, anomaly detection, self-tuning)
• Partner with AI/ML teams to embed ML models, statistical methods, and GenAI into data platform strategies
• Build intelligent agents using database AI frameworks to improve fault detection and reduce OLTP costs
Metadata, Governance & Compliance
• Establish enterprise metadata standards including tagging, classification, lineage, and discoverability
• Promote “data-as-a-product” practices for well-documented and consumable datasets
• Manage security and compliance alignment (e.g., GDPR, HIPAA)
• Handle GCP IAM, service accounts, role bindings, encryption, and secure agent practices
Database SRE & Performance Engineering
• Apply SRE practices for availability, fault tolerance, and disaster recovery
• Lead query optimization, indexing strategies, and distributed system troubleshooting
• Enable secure CI/CD pipelines for database code and configurations
Architecture, IaC & Platform Strategy
• Define scalable and self-service database “golden paths” on GCP
• Build and maintain Terraform templates for infrastructure automation
• Architect across SQL and NoSQL databases including Cloud SQL, AlloyDB, Spanner, Firestore, Bigtable, Memorystore, MongoDB, Neo4j, and BigQuery
• Develop data models and ETL pipelines integrating multiple data sources
Leadership & Enablement
• Advise engineering and data teams on best practices
• Mentor engineers and promote an AI-assisted, platform-first culture
Required Qualifications
• 5+ years of experience in database engineering with GCP focus
• Experience with AI/GenAI tools such as Gemini Enterprise or similar
• Experience with metadata and governance tools such as Dataplex and Knowledge Catalog
• Hands-on experience with GCP databases (Cloud SQL, AlloyDB, Spanner, Firestore, Memorystore, MongoDB, BigQuery)
• Experience with GCP IAM, encryption, and CI/CD practices
• Bachelor’s degree required
• Experience with 2 programming languages or advanced proficiency in 1 language (6+ years IT experience, 4+ years development experience)
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