{"schemaVersion":"jobsearcher.job.v1","id":"c06cbaa8a9a976d6e5a2b28a","url":"https://jobsearcher.com/jobs/c06cbaa8a9a976d6e5a2b28a","canonicalUrl":"https://jobsearcher.com/jobs/c06cbaa8a9a976d6e5a2b28a","title":"Agentic Data Cloud Databases Engineer, Google Cloud","description":"Overview\nAs a Databases Engineer, you design and modernize multi-model database platforms to support AI-driven workloads and secure, scalable data access. You will architect and migrate databases on Google Cloud, balancing reliability with performance while enabling real‑time analytics for AI agents. You collaborate with cross‑functional teams to deliver secure, enterprise‑grade data infrastructure and observable operations. This role offers hands-on impact shaping the agentic data layer for AI-enabled applications.\n\nCompensation / Benefitsbonus targetequitybenefits\nResponsibilitiesDesign and manage unified multi-model database solutions (relational, key-value, graph, vector)Deploy MCP servers to expose databases via secure, standardized interfaces for AI agentsLead complex database modernizations using migration Agents and standardize source-to-destination transfers (DMS)Shift SRE practices toward proactive, AI-driven management using Gemini Database Center and Observability AgentImplement QueryData APIs and database-specific contexts to translate NL queries into SQL with high accuracyEstablish security protocols, encryption, and IAM controls aligned with industry regulations and Google Cloud best practices\nKey requirementsBachelor's degree in Computer Science, Information Systems, a related technical field, or equivalent experience3 years of experience with Google Cloud Databases (e.g., AlloyDB, Cloud SQL, Spanner, Firestore, Bigtable)Experience with RDBMS such as PostgreSQL, Oracle, and SQL Server (engines, schema design, concurrency)Experience in application development using Java, Python, build systems, ORMs (Hibernate), and JDBCExperience with IaC and AI, including Terraform provisioning and AI integration via LangChain and LangGraphExperience with performance and HA/DR (execution plans, wait states, indexing, connection pooling, replication, automated failover, multi-region DR, PITR)collaborationproblem solvingclear communicationGoogle Cloud Databases (AlloyDB, Cloud SQL, Spanner, Firestore, Bigtable)RDBMS (PostgreSQL, Oracle, SQL Server)Java, Python, Hibernate, JDBC","company":"Google","rawCompany":"google","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-09-15T05:16:32.240Z","occupations":[{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1242.00","title":"Database Administrators","slug":"database-administrators"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Agentic Data Cloud Databases Engineer, Google Cloud","description":"Overview\nAs a Databases Engineer, you design and modernize multi-model database platforms to support AI-driven workloads and secure, scalable data access. You will architect and migrate databases on Google Cloud, balancing reliability with performance while enabling real‑time analytics for AI agents. You collaborate with cross‑functional teams to deliver secure, enterprise‑grade data infrastructure and observable operations. This role offers hands-on impact shaping the agentic data layer for AI-enabled applications.\n\nCompensation / Benefitsbonus targetequitybenefits\nResponsibilitiesDesign and manage unified multi-model database solutions (relational, key-value, graph, vector)Deploy MCP servers to expose databases via secure, standardized interfaces for AI agentsLead complex database modernizations using migration Agents and standardize source-to-destination transfers (DMS)Shift SRE practices toward proactive, AI-driven management using Gemini Database Center and Observability AgentImplement QueryData APIs and database-specific contexts to translate NL queries into SQL with high accuracyEstablish security protocols, encryption, and IAM controls aligned with industry regulations and Google Cloud best practices\nKey requirementsBachelor's degree in Computer Science, Information Systems, a related technical field, or equivalent experience3 years of experience with Google Cloud Databases (e.g., AlloyDB, Cloud SQL, Spanner, Firestore, Bigtable)Experience with RDBMS such as PostgreSQL, Oracle, and SQL Server (engines, schema design, concurrency)Experience in application development using Java, Python, build systems, ORMs (Hibernate), and JDBCExperience with IaC and AI, including Terraform provisioning and AI integration via LangChain and LangGraphExperience with performance and HA/DR (execution plans, wait states, indexing, connection pooling, replication, automated failover, multi-region DR, PITR)collaborationproblem solvingclear communicationGoogle Cloud Databases (AlloyDB, Cloud SQL, Spanner, Firestore, Bigtable)RDBMS (PostgreSQL, Oracle, SQL Server)Java, Python, Hibernate, JDBC","datePosted":"2026-09-15T05:16:32.240Z","dateModified":"2026-09-15T05:16:32.240Z","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c06cbaa8a9a976d6e5a2b28a"},"url":"https://jobsearcher.com/jobs/c06cbaa8a9a976d6e5a2b28a"}}