Snowflake
Principal AL/ML Solution Engineer
engineeringfull-timeUS-NY-New York City-Remote
SALARY
Not specified
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
general
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About the role
Role Description
Snowflake is seeking an AI/ML specialist to join our Solutions Engineering team, supporting our Healthcare & Life Sciences sector. You will provide AI/ML technical guidance while working with technical and business executives to design and architect the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture. In this role, you will work directly with sales and solution engineering teams and customers to understand AI/ML needs, strategize on sales cycles, provide compelling demonstrations, support Proof of Concepts, and close business.
Key Responsibilities
- Apply 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 throughout the sales cycle
- Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies
- Collaborate with Product Management, Engineering, and Marketing to improve Snowflake’s products and marketing around AI/ML features
Qualifications
- 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 with Snowflake’s solutions
- Ability to do deep discovery of customer’s architecture framework
- Broad experience with large-scale Database and/or Data Warehouse technology, ETL, analytics, and cloud technologies (Data Lake, Data Mesh, Data Fabric)
- Hands-on development experience with SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive, and 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 (Apache NiFi, Matillion, Fivetran, Qlik)
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