Solution Engineer

Responsibilities

• Present Snowflake technology and vision to executives and technical contributors, specifically focusing on how Snowflake serves as the engine for rapid AI innovation.
• Work hands-on with prospects to demonstrate the value of Snowflake throughout the sales cycle, moving them from initial interest to value driving insights and business outcomes
• Immerse yourself in the ever-evolving industry, maintaining a deep understanding of Analytics, Generative AI, LLMs, and competitive technologies, ensuring Snowflake is positioned as the easiest path to enterprise Analytics and AI.
• Collaborate with Product and Engineering to share field insights on customer data platform and activation requirements to continuously improve our platform.
• ON DAY ONE WE WILL EXPECT YOU TO HAVE
• Proven success in positioning data solutions to enable rapid Analytics and AI adoption, showing customers a clear path from raw data to actionable analytics, AI Agents and machine learning models.
• Real world experience in one or more of these technologies: Databricks, Microsoft Fabric, Cloudera, BigQuery, Analytics Open Source projects: Spark, Trino, Cassandra, Hive, among others.
• Outstanding presenting skills to both technical and executive audiences, with the ability to translate complex data concepts into business value.
• Broad range of experience within Large-scale Database/Data Warehouse technology, ETL, and modern AI/ML frameworks.
• Hands-on expertise with SQL and SQL analytics (Python or R experience for data science is a plus).

Languages