Architect, Snowflake Cortex

About Nimble Gravity:

Key Responsibilities

• Architect and build: Design and implement AI applications on Snowflake using Cortex AI functions, Cortex Analyst, Cortex Search, Cortex Agents, and Snowflake Intelligence.
• Build the data foundation: Shape the pipelines, semantic models, and unstructured data processing (including Document AI) that make AI answers trustworthy.
• 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.
• Design for scale and security: Apply role-based access control, data masking, and governance so applications are secure, resilient, and compliant from day one.
• Manage cost and performance: Tune warehouses, models, and queries, and make consumption-based costs predictable for clients.
• Lead client conversations: Run architecture sessions, demos, and workshops. Help clients choose the right approach and understand the trade-offs.
• Collaborate: Work closely with data engineers, data scientists, and app developers to deliver end-to-end outcomes.
• Keep learning: Track Snowflake's fast-moving AI roadmap and turn new capabilities into reusable patterns for the team.
• What We're Looking For
• Required
• 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.
• Preferred
• 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.
• Ownership and accountability: You take responsibility for design, delivery, and success.
• Adaptability: You're comfortable learning and shipping new technology in a fast-moving field.
• Collaboration: You communicate clearly and work well in a team.
• Interview process
• Interview with Recruiter (30 min) 1st Technical Interview (45 min) 2nd Technical Interview (45 min) Final Interview with VP, AI Applied Solutions Case Studies
• Nimble Gravity Applied Anthropic Practice
• Interview with Recruiter (30 min)
• 1st Technical Interview (45 min)
• 2nd Technical Interview (45 min)
• Final Interview with VP, AI Applied Solutions
• Case Studies

About Nimble Gravity

Qualifications

• Required
• 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.
• Ownership and accountability: You take responsibility for design, delivery, and success.
• Adaptability: You're comfortable learning and shipping new technology in a fast-moving field.
• Collaboration: You communicate clearly and work well in a team.

Preferred Qualifications

• Preferred