Agentic Data Cloud Database Engineer, Google Cloud

Oracle + Postgres
UNITED STATES
November 6, 2026
Full Time
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Job Description

Company: Google
Location: Addison, TX, USA; Austin, TX, USA; Chicago, IL, USA; Kirkland, WA, USA
Workplace Type: On-site
Employment Type: Full-time
Pay / Compensation: $183000 – $265000 (USD) + 20% bonus target + equity + benefits

About the Role

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.

What You’ll Do / Key Responsibilities

  • Design and manage unified, multi-model database solutions (including relational, key-value, graph, and vector search engines).
  • Lead complex database modernizations using migration Agents and standardizing source-to-destination transfers via Database Migration Service (DMS).
  • Shift database SRE to proactive, AI-driven management utilizing Gemini-powered database center and observability agents for root-cause analysis.
  • Establish security protocols, encryption, and access control policies (IAM) aligned with industry regulations.

Requirements & Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, or equivalent experience, plus 8 years of experience with Google Cloud Databases (e.g., AlloyDB, Cloud SQL).
  • Experience with RDBMS such as PostgreSQL, Oracle, and SQL Server (engines, schema design, and concurrency).
  • Hands-on experience with performance and HA/DR (diagnosing execution plans, replication, automated failover, and point-in-time recovery).
  • 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.

Preferred / Bonus Qualifications (if applicable)

  • 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 and optimize pooling.
  • Knowledge of AI-native database design, combining RDBMS expertise with vector and graph technologies.

Benefits & Perks (if applicable)

  • Health, dental, vision, life, and disability insurance.
  • 401(k) with company match.
  • Paid Time Off: 20 days of vacation per year, 13 paid holidays.
  • Maternity Leave: 28-30 weeks (Short-Term Disability + Baby Bonding) and 18 weeks Baby Bonding Leave.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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