--- title: Agentic Data Cloud Database Engineer, Cloud at Google description: Google is hiring for the Agentic Data Cloud Database Engineer, Cloud role in Chicago, IL. Hybrid role. See the full description and apply. type: job url: https://www.foundrole.com/jobs/agentic-data-cloud-database-engineer-cloud-at-google-01a1480e-fd4b-776d-ad48-c49f15af0e7f date: 2026-11-15T01:26:44Z og_description: Join Google as Agentic Data Cloud Database Engineer, Cloud in Chicago, IL. Pays $183K–$265K per year. Hybrid role. og_image: https://www.foundrole.com/og/kmgh6s.png breadcrumbs: - label: Home url: https://www.foundrole.com/ - label: Search url: https://www.foundrole.com/jobs --- | | | |---|---| | **Company** | [Google](https://www.foundrole.com/companies/google?utm_source=ai_markdown) | | **Location** | Chicago, IL (Hybrid) | | **Salary** | $183K/yr - $265K/yr | | **Posted** | Oct 17, 2026 | ## Is this job real? **Ghost job check:** A- · Low risk. Probably a real opening. ## Visa sponsorship - **H-1B:** Google sponsors H-1B visas. It filed 9,179 H-1B petitions (FY2026 Q1 – FY2026 Q4). - **E-Verify:** No E-Verify enrollment on record for Google. ## Pay for similar jobs Most similar jobs pay $173,000 – $254,000 a year (median $191,000). ## Description The 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. The Agentic Data Cloud Databases Engineer guides customers through designing, migrating, and optimizing intelligent, multi-model database infrastructure built for the agentic era. You will work 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. US: $183000 - $265000 (USD) + 20% bonus target + equity + benefits Learn more about [benefits at Google](https://www.google.com/about/careers/applications/benefits/). - Design and manage unified, multi-model database solutions (including relational, key-value, graph, and vector search engines). Deploy MCP servers to expose databases as secure, standardized interfaces for AI agents. - Lead complex database modernizations using migration Agents. Standardize source-to-destination transfers, utilizing tools like the Database Migration Service (DMS). - Shift database SRE to proactive, AI-driven management. Utilize 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. - Implement QueryData APIs and database-specific contexts to build conversational analytics experiences, translating natural language business queries into SQL with high accuracy. - Establish security protocols, encryption, and access control policies (IAM) aligned with industry regulations and Google Cloud best practices. ### Minimum qualifications: - Bachelor's degree in Computer Science, Information Systems, a related technical field, or equivalent experience. - 8 years of experience with Google Cloud Databases (e.g., AlloyDB, Cloud SQL, Spanner, Firestore, and Bigtable). - Experience with RDBMS such as PostgreSQL, Oracle, and SQL Server (e.g., engines, schema design, and concurrency). - Experience in application development using Java, Python, build systems, ORMs (e.g., Hibernate), and JDBC. - Experience with IaC and AI, including Terraform provisioning and AI integration via LangChain and LangGraph. - Experience 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). ### Preferred qualifications: - Master’s degree in Engineering, Computer Science, Business, or a related field. - Certifications: Professional Cloud Database Engineer. - Experience using Gemini analytics and Observability Agents to diagnose plans, resolve contentions, optimize pooling, and benchmark. - Experience managing hybrid/multi-cloud data environments or migrating to Google Cloud. - Knowledge of AI-native database design, combining RDBMS expertise with vector and graph technologies, and tying databases into modern pipelines (e.g., Dataflow, CDC). - Ability to design agent architectures (routing, state management) and integrate databases via MCP Toolbox for secure endpoints. - Bachelor's degree in Computer Science, Information Systems, a related technical field, or equivalent experience. - 8 years of experience with Google Cloud Databases (e.g., AlloyDB, Cloud SQL, Spanner, Firestore, and Bigtable). - Experience with RDBMS such as PostgreSQL, Oracle, and SQL Server (e.g., engines, schema design, and concurrency). - Experience in application development using Java, Python, build systems, ORMs (e.g., Hibernate), and JDBC. - Experience with IaC and AI, including Terraform provisioning and AI integration via LangChain and LangGraph. - Experience 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). ## Skills - Google Gemini - Vector Search - Data Replication - Analytics - Infrastructure as Code (IaC) - Microsoft SQL Server - Application Development - IT Provisioning - Dataflow - Change Data Capture (Cdc) - Python - Database Management - Observability - Artificial Intelligence - State Management - Relational Databases - SQL - PostgreSQL - Terraform - Software Development - Information Systems - LangGraph - Multi-Cloud - Google Cloud Firestore - Object-Relational Mapping - AI Agents - Google AlloyDB - Google Cloud Spanner - Oracle JDBC - LangChain - Model Context Protocol (Mcp) - Failover - Agent Architecture - Google Cloud Platform (Gcp) - Build Systems - Database Design - Data Migration - Cloud Databases - Diagnostics - Concurrent Programming - SQL Query Execution Plans - Computer Science - Databases - Hibernate ORM - Java - Google Cloud SQL - Google Cloud Bigtable ## Related - [More jobs at Google](https://www.foundrole.com/companies/google?utm_source=ai_markdown) - [Data & Analytics jobs](https://www.foundrole.com/careers/data-and-analytics?utm_source=ai_markdown)- [Data Engineering jobs](https://www.foundrole.com/careers/data-and-analytics/data-engineering?utm_source=ai_markdown)- [Data Engineer jobs](https://www.foundrole.com/careers/data-and-analytics/data-engineering/data-engineer?utm_source=ai_markdown)- [Browse all companies](https://www.foundrole.com/companies?utm_source=ai_markdown) ## Explore this job market - 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