5+ years of experience in technical support (customer-facing, ideally 24x7)
Strong AI fluency, including prompt engineering, context management, and the ability to critically validate AI outputs and know when to fall back to manual investigation
Experience with AI-powered tooling (e.g., coding assistants/agentic IDEs) and modern support environments
Solid technical troubleshooting skills, including comfort with SQL
Strong knowledge of at least one major RDBMS
In-depth understanding of SQL data types, aggregations, and advanced functions including analytical/window functions
Proven experience with query lifecycle, profiles, and execution/explain plans
Advanced skills in interpreting SQL queries and execution workflow logic
Proficiency with JSON, XML, and other semi-structured data formats
Experience with querying and transforming semi-structured data
In-depth knowledge of various caching mechanisms and ability to take advantage of caching strategies to enhance performance
Major cloud platform experience (AWS, Azure, GCP)
Basic understanding of cloud services, architecture, and best practices
A deep understanding of resource locks and experience with managing concurrent transactions
Strong written/verbal Japanese communication
Basic verbal communication skills in English
Intermediate or higher English reading and writing skills
Ability to work a shift schedule from 12:00 PM to 9:00 PM JST, including a 1-hour break
May require schedule flexibility and shift changes based on business needs
Snowflake experience
Advance Workflow automation CI/CD tooling experience
AI-powered support or SRE workflow experience
Relevant certifications (SnowPro, cloud certs)
Experience working with a distributed database i.e. big data and/or MPP (massively parallel processing) databases
Database migration and ETL experience
Ability to monitor and optimize cloud spending using cost management tools and strategies
Demonstrated ability to analyze and tune query performance and provide detailed recommendations for performance improvement
Proven ability with rewriting joins for optimization while maintaining logical consistency
Proficient in database patch and release management
Ability to interpret systems performance metrics (CPU, I/O, RAM, Network stats)
Experience with designing and implementing high availability and disaster recovery plans
In-depth Knowledge of data warehousing resource allocation and optimization
Expertise in identifying scenarios for scaling up and scaling out of cloud resources
Expertise in managing schedules of jobs and tasks for maximum throughput
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com