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rtners to leverage best practices and reference architectures highlighting Snowflake's Cloud Data Platform as a core technology enabling platform for the emerging Data Science workload throughout an organization.
As a Senior Architect focused on Machine Learning you must share our passion and vision in helping our customers and partners drive faster time to insight through Snowflake's Cloud Data Platform, thrive in a dynamic environment, and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences.
IN THIS ROLE YOU WILL GET TO:
ON DAY ONE, WE WILL EXPECT YOU TO HAVE:
5+ years of experience building and deploying machine learning solutions in the cloud
Deep technical hands on expertise within Data Science tools and ecosystem
2+ years of working with cloud native ML tools
Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
Working knowledge with data engineering technologies and tools (dbt, Airflow, etc)
Expert level knowledge of Data Science and ML fundamentals
Working knowledge of deep learning concepts, techniques, and tools (Pytorch, Tensorflow, etc).
2+ years experience building and deploying ML and data engineering applications and solutions on Spark
Expert level knowledge of Python and popular third party packages(Pandas, Numpy, Tensorflow, sklearn, Pytorch, etc)
Working knowledge of SQL
Introductory familiarity with LLM developer tools like langchain or LlamaIUndex
Industry Focus a plus (Financial Services, Healthcare & Lifesciences, Media, Retail / CPG, Manufacturing, Insurance, Technology and Telecom, or Federal)
Bachelor's Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.
Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
The application window is expected to be open until September 11, 2024 . This opportunity will remain posted based on business needs, which may be before or after the specified date.
The following represents the expected range of compensation for this role:
The estimated base salary range for this role is $176,000 - $252,000.
Additionally, this role is eligible to participate in Snowflake's bonus and equity plan.
The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?