Agentic Data Cloud Databases Engineer, Google Cloud
Share Agentic Data Cloud Databases Engineer, Google Cloud
corporatefare_ Google place Addison, TX, USA; Austin, TX, USA; +2 more; +1 more
Mid
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
Share Agentic Data Cloud Databases Engineer, Google Cloud
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XNote: 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 .
Minimum qualifications:
Bachelor's degree in Computer Science, Information Systems, a related technical field, or equivalent experience.
3 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.
About the job
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. 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.
US: $127000 - $182000 (USD) + 15% bonus target + equity + benefits
Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Responsibilities
Designs 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.
Lead complex database modernizations using migration Agents. Standardizes source-to-destination transfers, utilizing tools like the Database Migration Service (DMS).
Shift 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.
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.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\KnowYourRights\10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
Google 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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
