Snowflake is seeking an AI/ML specialist to join their Solutions Engineering team, providing technical guidance and working with executives and customers to design and architecture the Snowflake Cloud Data Platform. In this role, you will work directly with sales and solution engineering teams and with customers to understand AI/ML needs, strategize on winning sales cycles, and provide compelling value-based demonstrations.
Requirements
- 5-10+ years of data engineering experience within the Enterprise Data space
- 5+ years of 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 and any other Big data technologies
- Deep experience in AI/ML tools, services and architectures in the enterprise technology space
- 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 and experience working with Iceberg, Delta, and Parquet
- Strong architectural expertise in data engineering to confidently present and demo to business executives and technical audiences
- Bachelor’s Degree required, computer science, engineering, mathematics or related fields, or equivalent experience preferred
Benefits
- Retirement Plan
- 401k Matching
- Generous Paid Time Off
