
Cloud Computing • Data Analytics • SaaS
Snowflake is a cloud-based data-warehousing company that provides a platform for data storage, processing, and analytics. It allows businesses to store data in a centralized location and perform complex queries and analytics on that data efficiently. Snowflake is designed to handle a wide range of data workloads and can scale dynamically to meet the needs of growing businesses.
5001 - 10000 employees
Founded 2012
☁️ SaaS
October 13
🗽 New York – Remote
💵 $135k - $189k / year
⏰ Full Time
🟠 Senior
🔴 Lead
📞 Support Engineer
🦅 H1B Visa Sponsor

Cloud Computing • Data Analytics • SaaS
Snowflake is a cloud-based data-warehousing company that provides a platform for data storage, processing, and analytics. It allows businesses to store data in a centralized location and perform complex queries and analytics on that data efficiently. Snowflake is designed to handle a wide range of data workloads and can scale dynamically to meet the needs of growing businesses.
5001 - 10000 employees
Founded 2012
☁️ SaaS
• 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.
• 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
• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options
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