Architect, Snowflake Cortex

🕒 October 20

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏛️ Architect

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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📋 Description

• Design and implement AI applications on Snowflake using Cortex AI functions, Cortex Analyst, Cortex Search, Cortex Agents, and Snowflake Intelligence • Shape data pipelines, semantic models, and unstructured data processing, including Document AI • Build full-stack applications with Python, SQL, Snowpark, and Streamlit • Integrate applications with external APIs, applications, and LLM providers as needed • Apply role-based access control, data masking, and governance for secure, resilient, compliant applications • Tune warehouses, models, and queries to manage performance and consumption-based costs • Lead client architecture sessions, demos, and workshops • Collaborate with data engineers, data scientists, and app developers to deliver end-to-end outcomes • Track Snowflake’s AI roadmap and turn new capabilities into reusable team patterns • Participate in recruiter, technical, and final VP interviews

🎯 Requirements

• Proven experience as a data or AI architect or senior engineer, including hands-on work on Snowflake • Strong SQL and Python skills, with experience in Snowpark • Working knowledge of Snowflake Cortex capabilities, or comparable hands-on experience with LLM-based applications and a clear plan to ramp quickly • Familiarity with RAG, semantic search, text-to-SQL, and agentic patterns • Solid grasp of data modeling, ELT/ETL, and orchestration (dbt, Airflow, or similar) • Strong understanding of Snowflake security and governance: RBAC, masking, row access policies, and data sharing • Experience with CI/CD, APIs, and cloud fundamentals on Azure, AWS, or GCP • SnowPro Core or Advanced certification preferred • Experience with Streamlit, Snowflake Native Apps, or Cortex Fine-tuning preferred • Background in data science, machine learning, or formal engineering training preferred • Experience integrating Snowflake with other AI platforms, including Claude preferred • Consulting or client-facing delivery experience preferred • Ability to communicate clearly and work well in a team

🏖️ Benefits

• Equal Opportunity Employer • Team culture of outdoor enthusiasts and adrenaline seekers

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