Snowflake
Snowflake is a cloud-based data-warehousing company that provides an innovative platform for data storage, processing, and analytics. It enables organizations to handle large volumes of data efficiently, facilitating insights and business intelligence. Snowflake's architecture supports various data workloads, making it a versatile solution for enterprises looking to leverage their data for strategic decision-making.
Data Warehousing • Cloud • Analytics • Data Lake • Marketing Analytics
Senior Solution Engineer, HCLS
February 11
Snowflake
Snowflake is a cloud-based data-warehousing company that provides an innovative platform for data storage, processing, and analytics. It enables organizations to handle large volumes of data efficiently, facilitating insights and business intelligence. Snowflake's architecture supports various data workloads, making it a versatile solution for enterprises looking to leverage their data for strategic decision-making.
Data Warehousing • Cloud • Analytics • Data Lake • Marketing Analytics
📋 Description
• Build the future of the AI Data Cloud. Join the Snowflake team. • Looking for a Senior Solution Engineer to solve complex customer problems and close deals. • Work directly with sales team and channel partners to understand customer needs. • Present Snowflake technology and vision to executives and technical contributors. • Collaborate with Product Management, Engineering, and Marketing to improve products.
🎯 Requirements
• 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, whether impromptu on a whiteboard or using presentations and demos. • Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric. • 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 and connect those with Snowflake Data Architecture. • University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. Masters in Data Science or Business Administration is a plus. • Experience with GSIs (EY, Deloitte, Accenture, etc.) would be beneficial, but not required.
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