Solutions Architect - Data & AI
RescaleFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The salary range is $163K - $232K.
Yes, this is a remote position.
Candidates need a minimum of 8 years in a Data Science role with 2+ models deployed to production, 10 years in pre-sales or post-sales technical roles, hands-on Python experience with libraries like Pandas, XGBoost, PyTorch, TensorFlow, or SciKit-Learn, and strong understanding of the data science lifecycle, MLOps, and Generative AI/LLMs.
The role is based in the Sales Engineering organization and involves close collaboration with Product, Sales, and FCTO teams to create demos aligned with product releases.
Strong candidates have 8+ years in Data Science with production model experience, 10+ years in technical customer-facing roles, hands-on Python ML skills, deep knowledge of MLOps and Generative AI, and outstanding presentation skills for technical and executive audiences.
Data management and analytics platform
Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.