Senior Solution Engineer

March 5

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Logo of Snowflake

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

5001 - 10000 employees

Founded 2012

🏢 Enterprise

☁️ SaaS

📋 Description

• Build the future of the AI Data Cloud. Join the Snowflake team. • We are looking for a Senior Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. • 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, from demo to proof of concept to design and implementation. • Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them. • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing. • Our Solution Engineers are customer obsessed and we believe in the value we can add and stay honest about it. We love to learn, are open to giving and receiving feedback and are passionate about making our clients successful. • Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth.

🎯 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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