Senior Solution Engineer

Build the future of the AI Data Cloud. Join the Snowflake team.

The Solution Engineer will work hand-in-hand with Sales, Product, Engineering, and Marketing, providing technical expertise to ensure customer success. The role requires skills in data architecture, ETL/ELT, data science, security, and more, along with the ability to connect business problems to solutions, communicate effectively to diverse audiences, and assist with architecture and implementation.

The Solution Engineer must be proactive and stay updated on evolving technologies in data and analytics, collaborating broadly both inside and outside the company.

Responsibilities:

• 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
• Maintain 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
• Be an advocate and develop mutual trust with the technical audience on the customer side

Minimum Requirements:

• 10-12 years of experience in a customer-facing solution engineering (tech pre-sales) role
• Strong competency in modern data stacks, ETL/ELT, data warehouse/lake, data science, and data apps
• Excellent presentation skills to technical and executive audiences
• Hands-on expertise with SQL (Python knowledge a bonus)

Strongly Desired:

• Data Science knowledge and experience
• Degree in computer science, engineering, mathematics, or equivalent experience
• Software development experience with Java, Spark, and other scripting languages
• Experience with large-scale database technology and cloud data platforms
• Success in selling data and/or analytics software to enterprise customers
• Understanding of the Singaporean market and technology ecosystem

Added Bonus For:

• Strong Data Science/AI/ML experience across various platforms
• Experience with BI and data exploration tools (e.g. Tableau, PowerBI)
• Cloud Provider Experience - Amazon AWS, Microsoft Azure, Google Cloud
• Experience using AWS or Azure native services
• OLAP Data modeling and architecture experience
• Experience selling enterprise SaaS software
• Proven success at enterprise software start-ups

Snowflake is growing fast, and we are scaling our team to enable and accelerate growth. We seek individuals who share our values, challenge ordinary thinking, and drive innovation while building a future for themselves and Snowflake.

How do you want to make your impact?