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Snowflake delivers the AI Data Cloud to help organizations share data, build apps and power their business with AI.
Staff Designated Support Engineer
Location
New York
Posted
115 days ago
Salary
$122K - $160.6K / year
Seniority
Lead
Job Description
Staff Designated Support Engineer
Snowflake
• 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.
Job 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
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