Minimum qualifications:

• Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience.

• 3 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.

• 3 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (e.g., DataFlow, Spark, etc.).

• Experience with full stack application development and experience writing software in Java, C#, C++, Python, Go, or JavaScript.

Preferred qualifications:

• Experience working with cloud databases (e.g., RDS, Aurora, DynamoDb, ElastiCache, Cloud SQL, Firestore, Cloud Spanner, Bigtable, Memorystore, AlloyDB).

• Experience with data migration strategies and moving large-scale production systems either in on-premise/data center environments or migration to cloud.

• Experience developing ELT or ETL workflows.

• Knowledge of query troubleshooting (e.g., isolating blocks of poor performing SQL, determining root cause, and developing remediation actions).

• Knowledge of LLMs, Vector embeddings, and RAG.

• Knowledge of Disaster Recovery (DR) and high availability strategies.

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

In this role, you will guide customers on the migration of transactional database systems to Google Cloud Platform. You will work with customers to explain technical requirements and assist in designing, planning, managing, and troubleshooting the data migration process. You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.

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.

The US base salary range for this full-time position is $97,500-$143,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google (https://careers.google.com/benefits/) .

• Act as a trusted technical advisor to customers and solve complex database migration issues.

• Analyze on-premise and cloud database environments, and consult on the optimal design for performance and deployment on Google Cloud Platform.

• Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders.

• Travel regularly up to 30% of the time, in-region for meetings, technical reviews, and onsite delivery activities.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.