
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.
🕒 May 18
🌲 North Carolina – Remote
💵 $165k - $216.6k / year
⏰ Full Time
🟠 Senior
💻 Solutions Engineer
🦅 H1B Visa Sponsor
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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.
• Present Snowflake technology and vision to executives and technical contributors at prospects and customers • Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle • Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing
• 7-8 years of industry experience with a minimum of 5 years within a pre-sales environment • Outstanding presenting skills to both technical and executive audiences • Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies • Hands-on expertise with SQL, SQL analytics, and Python • Ability to connect a customer’s specific business problems and Snowflake’s solutions • Ability to do deep discovery of customer’s architecture framework • Proactive curiosity for the AI landscape • A proven ability to leverage AI code generation tools • University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred
• Health insurance • Paid time off • Professional development opportunities
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