Key skills
Google Cloud PlatformGoogle Cloud Platform databasesCloud SQLAlloyDBSpannerFirestoreMemorystoreMongoDBBigQueryGemini EnterpriseModel Context ProtocolDataplexKnowledge CatalogGoogle Cloud Platform IAMEncryptionCI/CD practicesDatabase engineeringAI/GenAISQLAIMachine LearningMLGenAIGeminiGoogle CloudIAMCI/CD
About this role
Dice is a recruiting company seeking a Senior Cloud Database Engineer with a focus on Google Cloud Platform and AI strategy. The role involves leading the adoption of AI-driven database innovations and collaborating with AI/ML teams to enhance data platform strategies.
Responsibilities:
- Lead the adoption of Gemini Enterprise for database engineering productivity (e.g., automated query writing, debugging, and schema optimization)
- Define and implement patterns for integrating the Model Context Protocol (MCP) with databases to enable seamless, contextual AI interactions
- Identify and deploy AI-driven automation opportunities across the database lifecycle, including predictive capacity planning, anomaly detection, and self-tuning
- Partner with AI/ML teams to embed machine learning libraries, statistical modeling, and GenAI capabilities into broader data platform strategies
- Build agents on top of database AI framework that drive business value fault detection and cost reduction in the OLTP space at source and instant value realization
Requirements:
- Bachelor Degree is REQUIRED
- 5+ years in database engineering with Google Cloud Platform AI enablement focus
- AI/GenAI Familiarity: Experience with Gemini Enterprise (or similar) and understanding of MCP or equivalent patterns
- Data Governance: Experience with Dataplex and Knowledge Catalog for metadata and lineage
- Multi-Engine Proficiency: Hands-on experience with Google Cloud Platform databases including Cloud SQL, AlloyDB, Spanner, Firestore, Memorystore, MongoDB, and BigQuery
- Security & DevSecOps: Knowledge of Google Cloud Platform IAM, encryption, and CI/CD practices