Senior Solution Engineer - SLED

About the role

We are seeking a Senior Solution Engineer to join our team. You will work closely with the sales team and channel partners to understand customer needs, strategize on winning sales cycles, and provide compelling value-based demonstrations. Your role involves working directly 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.

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
• 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

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
• Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies
• Hands-on expertise with SQL, SQL analytics, and Python
• Federal PubSec industry experience
• 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
• Proactive curiosity for the AI landscape, striving to be a visionary and technical thought partner for customers navigating the space
• Proven ability to leverage AI code generation tools to accelerate productivity and efficiency

Qualifications

• 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

Skills

• Passion for reinventing the database space
• Dynamic and fast-moving environment
• Experimental mindset
• Business and technical context
• Executive and technical audience interactions

Benefits

Our benefits package includes medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.