Snowflake is seeking a Principal AI/ML Solution Engineer to join our Solutions Engineering team, supporting our Healthcare & Life Sciences sector. The ideal candidate will provide AI/ML technical guidance, design and architecture of the Snowflake Cloud Data Platform, and work directly with sales and solution engineering teams to understand customer needs and close business.
Requirements
- 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
- Broad range of experience within large-scale Database and/or Data Warehouse technology
- 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
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan