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, governance structures, and integration patterns, ensuring that data is trustworthy, discoverable, interoperable, secure, and prepared for advanced use cases such as RAG, vector search, semantic layers, and
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preparing the university for advanced AI and data product capabilities using Snowflake Cortex, Snowpark, vectorized storage, and machine-learning features. The developer will work across legacy data
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integration patterns, ensuring that data is trustworthy, discoverable, interoperable, secure, and prepared for advanced use cases such as RAG, vector search, semantic layers, and agentic workflows. *Applicants
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and data product capabilities using Snowflake Cortex, Snowpark, vectorized storage, and machine-learning features. The developer will work across legacy data structures (Banner, Workday, Salesforce