Enterprise Solution Engineer
Zip- Full Time
- Junior (1 to 2 years)
Candidates should possess an University degree in computer science, engineering, mathematics or related fields, or equivalent experience. They should have broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics, data science, AI/ML, and cloud technologies, along with hands-on expertise with SQL and SQL analytics and Python.
As a Solutions Engineer, the individual will present Snowflake 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, immerse themselves in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors, and collaborate with Product Management, Engineering, and Marketing to continuously 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.