Nimble Gravity
Nimble Gravity
51 – 200 Employees
ConsultingLogisticsMarketing
Nimble Gravity is a consulting, marketing, and logistics company that helps businesses apply artificial intelligence, data science, and digital technologies to practical growth challenges. Its services include predictive and prescriptive analytics, digital transformation, software engineering, e-commerce strategy, and CRM optimization, including Salesforce-focused solutions. Nimble Gravity also develops generative AI agents and data-driven commerce tools designed to support automation, improve decision-making, and advance digital transformation initiatives.

Snowflake Cortex Architect

Design secure AI applications on clients’ Snowflake data. Build data foundations and full-stack solutions for Nimble Gravity’s data and AI consultancy.

Description

  • Design Snowflake AI applications with Cortex functions, Analyst, Search, Agents, and Snowflake Intelligence.
  • Develop data pipelines, semantic models, and unstructured data workflows, including Document AI.
  • Create full-stack applications using Python, SQL, Snowpark, and Streamlit.
  • Connect applications to external APIs, software, and LLM providers as needed.
  • Secure applications with role-based access, data masking, and governance controls.
  • Optimize warehouses, models, and queries for performance and consumption-based costs.
  • Lead client architecture discussions, demonstrations, and workshops.
  • Work with data engineers, data scientists, and application developers to deliver end-to-end solutions.
  • Monitor Snowflake’s AI roadmap and convert new capabilities into reusable team practices.
  • Take part in recruiter, technical, and final interviews with the VP.

Requirements

  • Hands-on Snowflake experience as a data or AI architect or senior engineer.
  • Strong SQL and Python skills, including Snowpark experience.
  • Knowledge of Snowflake Cortex or practical experience with LLM applications and a clear plan to learn Cortex quickly.
  • Familiarity with retrieval-augmented generation, semantic search, text-to-SQL, and agent-based approaches.
  • Strong grounding in data modeling, ELT/ETL, and orchestration tools such as dbt or Airflow.
  • Understanding of Snowflake security and governance, including 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 is preferred.
  • Experience with Streamlit, Snowflake Native Apps, or Cortex fine-tuning is preferred.
  • Training or experience in data science, machine learning, or formal engineering is preferred.
  • Experience connecting Snowflake with other AI platforms, including Claude, is preferred.
  • Consulting or client-facing delivery experience is preferred.
  • Clear communication skills and ability to collaborate effectively.

Benefits

  • Equal opportunity employer.
  • A team culture centered on outdoor activities and adrenaline-seeking pursuits.

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