Senior AI/ML Architect, Applied Field Engineering
Snowflake(29 days ago)
About this role
The Senior AI/ML Architect in Applied Field Engineering at Snowflake drives the design and architecture of the Snowflake cloud data platform, collaborating with technical and business stakeholders to enhance enterprise data architecture. This role involves supporting the sales cycle through hands-on engagement with customers, facilitating compelling demonstrations, and developing proof of concepts. The architect must leverage their extensive experience in enterprise data, presales environments, and various data technologies to align Snowflake’s solutions with customer needs while continuously engaging with cross-functional teams for product improvement.
Required Skills
- Muti-Cloud Architecture
- Data Engineering
- Pre-Sales Experience
- Presentation Skills
- Business Understanding
- Architecture Frameworks
- Big Data Technologies
- Hands-On Development
- Data Integration Tools
- Streaming Technologies
+4 more
Qualifications
- Bachelor's degree required
- Master's degree in Computer Science, Engineering, Mathematics, or a related field preferred
- Business level proficiency in Japanese and English
About Snowflake
www.snowflake.comSnowflake, Inc. is a cloud-based data warehousing company that provides a highly scalable and reliable platform for data storage, processing, and analytics. Known as the Snowflake Data Cloud, it empowers organizations to seamlessly manage and analyze their data, leveraging AI and advanced analytics tools without the complexity of traditional data management solutions. Snowflake's architecture eliminates data silos, enabling real-time collaboration and driving innovation across various industries. Its user-friendly interface and robust security features make it a preferred choice for businesses looking to harness the power of their data effectively.
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