Agentic Data Cloud Database Engineer, Google Cloud

Google LLC; Chicago (IL); On-site; USD 183,000 - 265,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off

Maternity leave

Job summary

Google LLC in Addison/Austin/Chicago area seeks a senior Database Engineer for Google Cloud to design, migrate, and optimize intelligent, multi-model database infrastructure for AI agents. You will work with enterprise customers to architect scalable, always-on databases and leverage automated onboarding, testing, migration, and observability tools.

You will help de-risk modernization journeys and deliver secure paths to enterprise-wide AI innovation, with compensation reflecting seniority and a

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or related field.
• 8 years of experience with Google Cloud Databases (e.g., AlloyDB, Cloud SQL, Spanner, Firestore, Bigtable).
• Experience with RDBMS such as PostgreSQL, Oracle, SQL Server (engines, schema design, concurrency).
• Experience in Java, Python, build systems, ORMs (Hibernate), and JDBC.
• Experience with IaC and AI, including Terraform provisioning and AI integration via LangChain and LangGraph.
• Experience with performance and HA/DR (diagnosing execution plans, wait states, indexing, replication, failover, multi-region DR, PITR).

Responsibilities

• Design and manage unified, multi-model database solutions; deploy MCP servers for secure interfaces.
• Lead complex database modernizations using migration Agents; use DMS.
• Shift database SRE to AI-driven management; use Gemini-powered observability agents.
• Implement QueryData APIs and contexts to translate NL to SQL with high accuracy.
• Establish security, encryption, and IAM-based access control per best practices.

Skills

Google Cloud Databases

PostgreSQL/Oracle/SQL Server

Java/Python/ORMs/JDBC

IaC & AI (Terraform, LangChain, LangG​

Performance & HA/DR

AI for databases

Observability & tuning

Education

Bachelor's degree in Computer Science or related field

Master’s degree (preferred)

Tools

Terraform

LangChain

LangGraph

Database Migration Service (DMS)

Job description

Agentic Data Cloud Database Engineer, Google Cloud

Location: Addison, TX, USA; Austin, TX, USA; +2 more

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

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.