Snowflake26.03.2026
Principal AL/ML Solution Engineer
Полная занятостьУдалёнка
Обязанности
- 01Apply your multi-cloud data architecture and AI/ML expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners
- 02Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation, in support of our customer-aligned solution engineers
- 03Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
- 04Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing around AI/ML features and capabilities
Требования
- 015 - 10+ years of data engineering experience within the Enterprise Data space
- 025+ years experience working with AI/ML technologies
- 03Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
- 04Ability to connect a customer’s specific business problems and Snowflake’s solutions
- 05Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture
- 06Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies
- 07Hands on Development experience with technologies such as SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive and any other Big data technologies
- 08Deep experience in AI/ML tools, services and architectures in the enterprise technology space
- 09Clear understanding of data integration services and tools for building ETL and ELT data pipelines such as Apache NiFi, Matillion, Fivetran, Qlik, or Informatica
- 10Familiarity with streaming technologies (ex. Kafka, Flink, Spark Streaming, Kinesis) and real-time or near real time use cases (ex. CDC)
- 11Experience designing interoperable data lakehouse architectures and experience working with Iceberg, Delta, and Parquet
- 12Strong architectural expertise in data engineering to confidently present and demo to business executives and technical audiences, and effectively handle any impromptu questions
- 13Bachelor’s Degree required, computer science, engineering, mathematics or related fields, or equivalent experience preferred
Условия
- 01Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data
- 02Snowflake employees must abide by the company’s data security plan as an essential part of their duties
- 03It is every employee's duty to keep customer information secure and confidential