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Agentic Data Cloud Database Engineer, Google Cloud

Google
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Hybrid (Addison, TX; Austin, TX; Chicago, IL; Kirkland, WA)$183k - $265kFull-timePosted 3d ago

About the role

Google Cloud Consulting Professional Services role focused on designing, migrating, and optimizing intelligent, multi-model database infrastructure for AI agents and enterprise customers.

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.

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 (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

Required:Cloud databases design and managementDatabase modernization and migrationAI-driven SRE and observabilityQueryData API and SQL translation

Benefits

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year (accruing 6.15 hours per pay period for first five years)
  • 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
Last updated Oct 23, 2026. Interested? Apply on the company site.

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