Snowflake

Compensation

Full Description

Job Description: • Delight your designated customer(s) with your passion and knowledge of Snowflake AI Data Cloud. • 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. • Establish regular touchpoints with customers for critical issues and provide executive-level technical briefings. • Drive technical advocacy between customers and product teams and lead problem-solving sessions for complex technical challenges. • Adhere to response and resolution SLAs and escalation processes to ensure fast resolution of customer issues that exceed expectations. • 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. 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 • Retirement plans • Paid time off • Flexible work arrangements • Professional development • Bonuses • Stock options