Apply your multi-cloud data architecture and AI/ML expertise while presenting Snowflake technology and vision to executives and technical contributors.
Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology.
Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing around AI/ML features and capabilities.

5
10+ years of data engineering experience within the Enterprise Data space
5+ years experience working with AI/ML technologies
Outstanding presentation skills to both technical and executive audiences.
Ability to connect a customer’s specific business problems and Snowflake’s solutions.
Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture.
Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies
Hands on Development experience with technologies such as SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive.
Clear understanding of data integration services and tools for building ETL and ELT data pipelines
Familiarity with streaming technologies and real-time or near-real-time use cases
Experience designing interoperable data lakehouse architectures
Strong architectural expertise in data engineering.
Bachelor’s Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred

Snowflake is about empowering enterprises to achieve their full potential — and people too.
Health insurance
Profession development opportunities
Paid time off

Principal Solution Engineer

Key skills