Senior Solution Engineer, Manufacturing

Snowflake

full-time

Posted on: 9/10/2025

Origin: • 🇬🇧 United Kingdom

✨ AI Apply

Senior

CloudPythonSparkSQL

About the role

Present Snowflake’s 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
Create and develop technical champions in your accounts to drive deals and achieve a technical win
Be at the cutting edge of Snowflake technology and confidently present Snowflake roadmap features and functionality to customers and/or prospects
Maintain a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
Work closely with other sales engineers to collaborate, learn from wins and losses, and improve team performance
Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing
Represent Snowflake at industry or customer events
Work with ecosystem and implementation partners to build joint architectures and collaborate on account strategies
Proactively contribute to and co-develop account and territory plans and execute initiatives

Solution engineering/solution architect experience in a Saas environment or relevant industry (analytics, data science, data engineering etc)
Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using 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 and apply Snowflake’s solutions
Customer-facing skills to effectively communicate our vision to a wide variety of technical and executive audiences both written and verbal
Experience in the retail / CPG vertical (preferred)
Hands on experience with Python (preferred)
Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.) (preferred)
Experience with AI, data science and machine learning technologies (preferred)
Authorization to work in the country to which you are applying (application requirement)