Senior Solutions Engineer - Data & ML
Union.aiFull Time
Senior (5 to 8 years)
Candidates should possess outstanding presenting skills to both technical and executive audiences, with experience in impromptu whiteboarding, presentations, and demos. A broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics, and cloud technologies is required, along with hands-on expertise with SQL and SQL analytics. A University degree in computer science, engineering, mathematics, or a related field, or equivalent experience is preferred.
The Solution Engineer will work directly with the sales team and channel partners to understand customer needs, strategize on winning sales cycles, provide value-based demonstrations, and support enterprise Proof of Concepts. Responsibilities include presenting Snowflake technology and vision to executives and technical contributors, immersing in the industry to understand competitive and complementary technologies, and collaborating with Product Management, Engineering, and Marketing to improve Snowflake’s products and marketing.
Data management and analytics platform
Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.