Senior Solution Engineer

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Snowflake

5001 - 10000 employees

Founded 2012

☁️ SaaS

🏢 Enterprise

🤝 B2B

SaaS • Enterprise • B2B

Snowflake is a cloud-based data platform and data warehouse-as-a-service. It enables organizations to store, process, analyze, and share large volumes of structured and semi-structured data across multiple clouds, with separated scalable compute and storage, built-in security and data-sharing capabilities, and support for analytics and machine-learning workloads. Snowflake is delivered as a managed SaaS offering for enterprise customers and is primarily marketed and sold as a B2B product.

📋 Description

• Present Snowflake’s technology and vision to executives and technical contributors at prospects and customers • Demonstrate and communicate Snowflake technology value throughout the sales cycle, from demos through proof of concept, design, and implementation • Create and develop technical champions within accounts to drive deals and achieve technical wins • Present Snowflake roadmap features and functionality to customers and prospects • Maintain knowledge of industry, competitive, and complementary technologies and position Snowflake accordingly • Collaborate with other sales engineers and learn from wins and losses • Collaborate with Product Management, Engineering, and Marketing to improve products and marketing • Represent Snowflake at industry and customer events • Work with ecosystem and implementation partners on joint architectures and account strategies • Contribute to and execute account and territory plans while engaging the broader internal and external ecosystem

🎯 Requirements

• Solution engineering or solution architect experience in a SaaS environment, or relevant industry experience such as analytics, data science, or data engineering • Outstanding presentation skills for technical and executive audiences, including impromptu whiteboarding, presentations, and demos • Understanding of and experience with data architecture, data analytics, and cloud technology • Hands-on experience with SQL • Ability to solve customer-specific business problems using Snowflake’s solutions • Customer-facing ability to communicate Snowflake’s vision effectively to diverse technical and executive audiences, both written and verbal • Python experience preferred but not required • Experience with modern data technologies such as dbt, Spark, containers, DevOps tooling, orchestration tools, and Git preferred but not required • Experience with AI, data science, and machine learning technologies preferred but not required

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