Senior Solution Engineer - CommTech

March 26

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $214.3k - $238.1k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

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Snowflake

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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. • Looking for a Senior Sales Engineer accustomed to solving complex customer problems and closing large deals. • Work directly with the sales team and channel partners to understand customer needs, strategize on winning sales cycles, and provide compelling demonstrations. • Collaborate with Product Management, Engineering, and Marketing to improve Snowflake’s products and marketing.

🎯 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 DataScience or Business Administration is a plus. • Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required