At a glance
- Employment
- Full-time
- Location
- GB-London
About the role
- We are looking for an Associate Solution Engineer for the UK market who can solve our customer's most complex problems.
- In this role you will work directly with the account sales team and channel partners to understand customer needs, strategize support during evaluations, and help customers choose Snowflake.
Responsibilities
- 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.
- 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 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.
Requirements
- Sales 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.
Preferred qualifications
- Hands on experience with Python.
- Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.).
- Experience with data science and machine learning technology.
Skills
- SQL
- Python
- Dbt
- Spark
- Containers
- DevOps Tooling
- Orchestration Tools
- Git
