Collaborate with Snowflake engineering to define and validate data requirements for AI models.
Translate data engineering/AI needs into precise data requirements for engineering teams.
Design and maintain data layers powering agent memory, context retrieval, and tool-use.
Build data models and transformations on Snowflake for predictive and generative AI.
Identify and resolve data quality issues in collaboration with the engineering team.
Partner with marketing science/analytics to ensure data assets are accessible and model-ready.

🎯 Requirements

8 years of experience in Data Science or data engineering-adjacent roles.
Advanced proficiency in Python and SQL.
Deep Snowflake expertise including modeling, Snowpark, and advanced querying.
Approximately 2 years powering agentic AI workflows with data (RAG pipelines, context layers).
Familiarity with vector databases (Pinecone, Weaviate, pgvector).
Familiarity with cloud data platforms (AWS, GCP, or Azure).

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