Senior Solution Engineer
On-siteLondon, England, United Kingdom
Job Summary
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. Immerse and enable 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. Work closely with other sales engineers to make each other the best and constantly learn from wins and losses. Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake's products and marketing. Represent Snowflake at industry or customer events. Work with our ecosystem and implementation partners to build joint architectures or collaborate on account strategies and initiatives to help our customers be successful. Proactively contribute and help co-develop Account & territory plans and execute while engaging with the broader internal/external ecosystem.
Required Qualifications
- Solution engineering/solution architect experience in a SaaS environment or relevant industry experience (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
Desired Qualifications
- Experience in Insurance
- Hands on experience with Python
- Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.)
- Experience with AI, data science and machine learning technologies
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