Snowflake Architect

• We are seeking a visionary Snowflake Architect to lead the design and deployment of our next-generation data ecosystem. This role goes beyond traditional data warehousing; you will be responsible for architecting a semantic layer that powers autonomous AI Agents. You will operationalize Model Context Protocols (MCPs) to enable dynamic, context-aware data retrieval, ensuring our Large Language Models (LLMs) and agentic frameworks can securely interact with live Snowflake data in real-time.
• Snowflake: 8+ years of hands-on Snowflake architecture experience. Deep expertise in Virtual Warehouses, Zero-Copy Cloning, Time Travel, and Replication.
• Snowflake Advanced: Proficiency with Snowpark (Python/Java/Scala), Native Applications Framework, and External Functions.
• AI/ML Stack: Strong experience deploying LLMs (OpenAI, Anthropic, Llama, or Mistral) in production. Familiarity with LangChain, LlamaIndex, or AutoGen.
• MCP Knowledge: Demonstrable experience building semantic layers, context protocols, or unified data tooling for AI. (Note: Experience with Model Context Protocol standard, or equivalent proprietary systems for dynamic context injection).
• Programming: Expert-level Python (including async operations) and SQL. Experience with PyTorch/TensorFlow is a plus

Preferred candidate profile