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Agentic Data Cloud Database Engineer, Google Cloud

Google3,690 open roles

Where
Addison, TX, USA; Austin, TX, USA; Chicago, IL, USA; Kirkland, WA, USA
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Your applicationOpen nowAgentic Data Cloud Database Engineer, Google CloudGoogle · Addison, TX, USA; Austin, TX, USA; Chicago, IL, USA; Kirkland, WA, USA

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

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The clock on this job

Early applications get read.

10.5% of postings close within 7 days. Measured by our own scanner across the market. Google postings stay open a median of 29 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.3%3 days
  3. 10.5%7 days
  4. 15.9%14 days
  5. 34.1%30 days
This job: first seen 50 minutes ago

Google median: 29 days open

The posting

In most instances, this position requires in-person interviews as part of the hiring process.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

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; Kirkland, WA, USA.

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.

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. 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.

Responsibilities

  • 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.
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