Delight your designated customer(s) with your passion and knowledge of Snowflake AI Data Cloud.
Provide technical guidance and expert advice with regard to their effective and optimal use of Snowflake.
Be the voice of the customer to Snowflake’s product and engineering teams for product feedback and improvements.
Develop a strong understanding of the customer’s use cases and how they leverage the Snowflake platform.
Deliver exceptional service, enabling them to achieve the highest levels of continuity and performance from their Snowflake implementation.
Maintain deep knowledge of assigned accounts' architecture and use cases.
Report well-documented bugs and feature requests arising from customer-submitted requests and work with Engineering toward a resolution.
Proactively identify recommendations and lead global initiatives to improve product quality and customer experience.
Provide support coverage during holidays and weekends based on business needs.
Requirements
Bachelor’s or Master’s degree in Computer Science or equivalent discipline
8+ years experience in a Technical Support environment or a similar technical function in a customer-facing role
Excellent writing and communication skills in English with attention to detail
Ability to work in a highly collaborative environment across global teams with a good understanding of sales cycle concepts
Ability to train team members on data warehousing fundamentals and concepts
Ability to debug, rewrite, and troubleshoot complex SQL queries for achieving workarounds or better solutions
Strong knowledge of RDBMS, SQL data types, aggregations, and functions including analytical/window functions
Familiarity with at least one of the following: ETL/ELT, reporting tools such as AWS Glue, EMR, Azure Data Factory, Informatica, Matillion, Tableau, Fivetran, HVR etc.
Good understanding of RDBMS query profiles and execution plans to analyze query performance and make recommendations for improvement
Good understanding of database query lifecycle and internal join processing
Database migration and ETL experience
Scripting/coding experience in any programming language
Familiarity with semi-structured data
Experience in RDBMS workload management and database performance
Experience with any of the major cloud service provider’s ecosystem
Ability to interpret systems performance metrics (CPU, I/O, RAM, Network stats)
Experience troubleshooting database connectivity issues using a variety of methods (client software, drivers/connectors)
Understanding of database patch and release management
Benefits
Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.