Nimble Gravity - Architect, Snowflake Cortex
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. • Experience with Streamlit, Snowflake Native Apps, or Cortex Fine-tuning. • Background in data science, machine learning, or formal engineering training. • Experience integrating Snowflake with other AI platforms, including Claude. • Consulting or client-facing delivery experience. • Core Qualities • Problem-solving excellence: You approach hard technical challenges with creativity and rigor. • Problem-solving excellence: • Ownership and accountability: You take responsibility for design, delivery, and success. • Ownership and accountability: • Adaptability: You're comfortable learning and shipping new technology in a fast-moving field. • Adaptability: • Collaboration: You communicate clearly and work well in a team. • Collaboration:
Responsibilities
• Architect and build: Design and implement AI applications on Snowflake using Cortex AI functions, Cortex Analyst, Cortex Search, Cortex Agents, and Snowflake Intelligence. • Architect and build: • Build the data foundation: Shape the pipelines, semantic models, and unstructured data processing (including Document AI) that make AI answers trustworthy. • Build the data foundation: • Develop full-stack: Build with Python, SQL, Snowpark, and Streamlit, and integrate with external APIs, applications, and LLM providers where the use case calls for it. • Develop full-stack: • Design for scale and security: Apply role-based access control, data masking, and governance so applications are secure, resilient, and compliant from day one. • Design for scale and security: • Manage cost and performance: Tune warehouses, models, and queries, and make consumption-based costs predictable for clients. • Manage cost and performance: • Lead client conversations: Run architecture sessions, demos, and workshops. Help clients choose the right approach and understand the trade-offs. • Lead client conversations: • Collaborate: Work closely with data engineers, data scientists, and app developers to deliver end-to-end outcomes. • Collaborate: • Keep learning: Track Snowflake's fast-moving AI roadmap and turn new capabilities into reusable patterns for the team. • Keep learning:
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