About the role

What will you do at Google?

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 about benefits 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.

Which skills does this role require?

Google Cloud DatabasesPostgreSQLOracleSQL ServerJavaPythonTerraformLangChainLangGraphDatabase migrationPerformance tuningHigh availabilityDisaster recoveryIAMAlloyDBCloud SQLSpannerFirestoreBigtableHibernateJDBCDatabase Migration ServiceSREVector searchAI-native designInfrastructure as CodeSQLGCP

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