
5001 - 10000 employees
Founded 2012
☁️ SaaS
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.
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5001 - 10000 employees
Founded 2012
☁️ SaaS
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.
• Provide hands-on support for customer needs following deployment • Deep understanding of the customer's product integration architecture and workloads • Design, review, and execute use cases with customer context • Provide guidance on how to resolve customer-specific technical challenges • Collaborate with Product Management, Engineering, and Marketing to improve Snowflake’s offerings • Monitor, review and provide actionable support for query performance optimization • Analyze warehouse configuration for cost optimization opportunities • Own release readiness for priority support customers • Drive issue resolution and high case quality • Establish regular touchpoints with customers • Be available on-call as needed for customer success
• 7+ years of experience in Technical Support, Solutions Architecture, Data Engineering, or similar customer-facing technical role • Bachelor's or Master's degree in Computer Science, MIS, or a related field — or equivalent experience • Proven success managing enterprise customer relationships as a trusted technical advisor • Advanced SQL expertise, including query debugging, optimization, window functions, and performance tuning • Strong RDBMS fundamentals • Hands-on experience with distributed or MPP database platforms • Experience with ETL/ELT tools and BI/analytics platforms • Experience working with large-scale infrastructure-as-a-service platforms • AI fluency • High emotional intelligence and strong customer advocacy skills.
• Health insurance • 401(k) • Paid time off • Flexible working hours
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