{"schemaVersion":"jobsearcher.job.v1","id":"a2ca653a7f3d07bf5d928cbe","url":"https://jobsearcher.com/jobs/a2ca653a7f3d07bf5d928cbe","canonicalUrl":"https://jobsearcher.com/jobs/a2ca653a7f3d07bf5d928cbe","title":"Agentic Data Cloud Databases Engineer, Google Cloud","description":"Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Addison, TX, USA; Austin, TX, USA; Chicago, IL, USA.\nMinimum qualifications:\nBachelor's degree in Computer Science, Information Systems, a related technical field, or equivalent experience.\n3 years of experience with Google Cloud Databases (e.g., AlloyDB, Cloud SQL, Spanner, Firestore, and Bigtable).\nExperience with RDBMS such as PostgreSQL, Oracle, and SQL Server (e.g., engines, schema design, and concurrency).\nExperience in application development using Java, Python, build systems, ORMs (e.g., Hibernate), and JDBC.\nExperience with IaC and AI, including Terraform provisioning and AI integration via LangChain and LangGraph.\nExperience with performance and HA/DR (e.g., diagnosing execution plans, wait states, indexing, connection pooling, replication, automated failover, multi-region DR, and point-in-time recovery).\n\nPreferred qualifications:\nMaster’s degree in Engineering, Computer Science, Business, or a related field.\n\nCertifications: Professional Cloud Database Engineer.\nExperience using Gemini analytics and Observability Agents to diagnose plans, resolve contentions, optimize pooling, and benchmark.\nExperience managing hybrid/multi-cloud data environments or migrating to Google Cloud.\nKnowledge of AI-native database design, combining RDBMS expertise with vector and graph technologies, and tying databases into modern pipelines (e.g., Dataflow, CDC).\nAbility to design agent architectures (routing, state management) and integrate databases via MCP Toolbox for secure endpoints.\n\nAbout the job\nThe Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.\n\nThe Agentic Data Cloud Databases Engineer guides customers through designing, migrating, and optimizing intelligent, multi-model database infrastructure built for the agentic era. The engineer works closely with enterprise customers to architect scalable, always-on transactional databases that serve as the contextual \"brain\" and real-time execution engine for AI agents. By leveraging automated onboarding, testing, migration, and observability database agents, you will de-risk the customer modernization journey and deliver paved, secure paths to enterprise-wide AI innovation.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.\n\nUS: $127000 - $182000 (USD) + 15% bonus target + equity + benefits\n\nLearn more about benefits at Google.\nResponsibilities\nDesigns and manages unified, multi-model database solutions (including relational, key-value, graph, and vector search engines). Deploys MCP servers to expose databases as secure, standardized interfaces for AI agents.\n\nLead complex database modernizations using migration Agents. Standardizes source-to-destination transfers, utilizing tools like the Database Migration Service (DMS).\n\nShift database SRE to proactive, AI-driven management. Utilizes the Gemini-powered Database Center and the Database Observability Agent to consume real-time telemetry, automate workload simulations, perform root-cause analysis, and apply remediations.\n\nImplement QueryData APIs and database-specific contexts to build conversational analytics experiences, translating natural language business queries into SQL with high accuracy.\n\nEstablish security protocols, encryption, and access control policies (IAM) aligned with industry regulations and Google Cloud best practices.\nGoogle is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.","company":"Google","rawCompany":"google","city":"Chicago","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-09-14T03:29:01.922Z","occupations":[{"code":"15-1242.00","title":"Database Administrators","slug":"database-administrators"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"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":"Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Addison, TX, USA; Austin, TX, USA; Chicago, IL, USA.\nMinimum qualifications:\nBachelor's degree in Computer Science, Information Systems, a related technical field, or equivalent experience.\n3 years of experience with Google Cloud Databases (e.g., AlloyDB, Cloud SQL, Spanner, Firestore, and Bigtable).\nExperience with RDBMS such as PostgreSQL, Oracle, and SQL Server (e.g., engines, schema design, and concurrency).\nExperience in application development using Java, Python, build systems, ORMs (e.g., Hibernate), and JDBC.\nExperience with IaC and AI, including Terraform provisioning and AI integration via LangChain and LangGraph.\nExperience with performance and HA/DR (e.g., diagnosing execution plans, wait states, indexing, connection pooling, replication, automated failover, multi-region DR, and point-in-time recovery).\n\nPreferred qualifications:\nMaster’s degree in Engineering, Computer Science, Business, or a related field.\n\nCertifications: Professional Cloud Database Engineer.\nExperience using Gemini analytics and Observability Agents to diagnose plans, resolve contentions, optimize pooling, and benchmark.\nExperience managing hybrid/multi-cloud data environments or migrating to Google Cloud.\nKnowledge of AI-native database design, combining RDBMS expertise with vector and graph technologies, and tying databases into modern pipelines (e.g., Dataflow, CDC).\nAbility to design agent architectures (routing, state management) and integrate databases via MCP Toolbox for secure endpoints.\n\nAbout the job\nThe Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.\n\nThe Agentic Data Cloud Databases Engineer guides customers through designing, migrating, and optimizing intelligent, multi-model database infrastructure built for the agentic era. The engineer works closely with enterprise customers to architect scalable, always-on transactional databases that serve as the contextual \"brain\" and real-time execution engine for AI agents. By leveraging automated onboarding, testing, migration, and observability database agents, you will de-risk the customer modernization journey and deliver paved, secure paths to enterprise-wide AI innovation.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.\n\nUS: $127000 - $182000 (USD) + 15% bonus target + equity + benefits\n\nLearn more about benefits at Google.\nResponsibilities\nDesigns and manages unified, multi-model database solutions (including relational, key-value, graph, and vector search engines). Deploys MCP servers to expose databases as secure, standardized interfaces for AI agents.\n\nLead complex database modernizations using migration Agents. Standardizes source-to-destination transfers, utilizing tools like the Database Migration Service (DMS).\n\nShift database SRE to proactive, AI-driven management. Utilizes the Gemini-powered Database Center and the Database Observability Agent to consume real-time telemetry, automate workload simulations, perform root-cause analysis, and apply remediations.\n\nImplement QueryData APIs and database-specific contexts to build conversational analytics experiences, translating natural language business queries into SQL with high accuracy.\n\nEstablish security protocols, encryption, and access control policies (IAM) aligned with industry regulations and Google Cloud best practices.\nGoogle is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.","datePosted":"2026-09-14T03:29:01.922Z","dateModified":"2026-09-14T03:29:01.922Z","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a2ca653a7f3d07bf5d928cbe"},"url":"https://jobsearcher.com/jobs/a2ca653a7f3d07bf5d928cbe"}}