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Architect, Snowflake Cortex
Nimble GravityCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing AI applications on Snowflake, utilizing Python, SQL, and Snowpark, while ensuring data security and governance. Proven ability to collaborate with cross-functional teams to deliver effective data solutions and integrate with external APIs.
Highest-signal resume keywords
Snowflake AI Application DevelopmentPython ProgrammingSQL ProficiencyData Governance and SecurityCI/CD and Cloud Fundamentals
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Equal Opportunity Employer
- Team culture of outdoor enthusiasts and adrenaline seekers
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Application DesignData ModelingELT/ETL ProcessesOrchestration (dbt, Airflow)Performance TuningDocument AISemantic SearchText-to-SQLIntegration with LLM ProvidersCortex AI Functions
Soft Skills
Clear CommunicationTeam CollaborationClient-Facing Delivery
Tools & Technologies
SnowflakeCortex AnalystCortex SearchCortex AgentsStreamlitAzureAWSGCP
Certifications & Qualifications
SnowPro Core CertificationSnowPro Advanced Certification
Industry Keywords
Data ArchitectureAI EngineeringMachine LearningData ScienceRBACData MaskingData Sharing