Senior Sales Engineer - Global Accounts

September 26

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Snowflake

WebsiteLinkedInAll Job Openings

Data Warehousing • Cloud • Analytics • Data Lake • Marketing Analytics

1001 - 5000

💰 $621.5M Post-IPO Equity on 2022-04

Description

•Build the future of data. Join the Snowflake team. •We are looking for a Senior Sales Engineer for the German 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 the needs of our customers, strategize on how to best support them in their evaluation and ultimately help our customers choose Snowflake as their solution. •As a Snowflake Sales Engineer you share our passion for solving complex data challenges and helping organizations to get the most out of their data assets. •You are able to translate features and functions into solutions that solve business problems, in conversations with technical or business teams, with end users or executives. •You will present Snowflake’s technology and vision to executives and technical contributors at prospects and customers. •You will collaborate with product management, engineering, and marketing to continuously improve Snowflake’s products and marketing.

Requirements

•Extensive sales engineering/solution architect experience in a Saas environment or relevant industry experience (analytics, data science, data engineering etc) •Proven track record of delivering technical wins & strong customer relationships in your accounts •Show leadership and impact beyond your own accounts by uplifting others in your team or region. •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 •Fluency in German language - written & spoken •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