Snowflake Data Engineer_AI Engineer

Snowflake Data Engineer / AI Engineer

Role Summary

We are looking for a Snowflake Data Engineer / AI
Engineer to build and support modern Snowflake data pipelines and
AI-enabled solutions. This role is best suited for someone with strong hands-on
experience in Snowflake engineering and practical enterprise AI use
cases, especially around LLM-enabled workflows and document data
extraction.

This is a hybrid role focused on:

• Snowflake
  AI functions and Snowflake-native AI capabilities
  
• Streams,
  Tasks, Snowpipe, and pipeline orchestration
  
• Data
  pipeline design, development, troubleshooting, and operational support
  
• Effective
  prompt design for LLM-driven workflows
  
• Evaluation
  of LLM quality and performance
  
• Document
  extraction from scanned, semi-structured, or business documents
  

Top Priority Skills

• Strong
  hands-on experience with Snowflake
  
• Experience
  with Snowflake AI functions / Snowflake-native AI capabilities
  
• Experience
  using Streams, Tasks, Snowpipe, and orchestration tools
  
• Strong
  background in data pipeline design, development, troubleshooting, and
  support
  
• Experience
  writing effective prompts for LLM-based solutions
  
• Experience evaluating LLM performance, including output quality, consistency,
  groundedness, latency, and cost
  
• Experience
  building or supporting document extraction / intelligent document
  processing solutions
  
• Strong
  SQL skills
  
• Experience
  designing batch and near-real-time data workflows
  

Key Responsibilities

• Design,
  build, and maintain scalable data pipelines in Snowflake
  
• Develop
  and support ingestion and transformation workflows using Snowpipe,
  Streams, Tasks, and orchestration frameworks
  
• Troubleshoot
  pipeline performance, failures, latency issues, and data quality problems
  
• Build
  AI-enabled workflows using Snowflake AI capabilities and LLM-based
  patterns
  
• Create
  and refine prompts for extraction, summarization, classification, and
  retrieval-based use cases
  
• Define
  and apply methods to evaluate LLM performance in production
  
• Design
  document processing workflows for extracting structured data from PDFs,
  scanned files, forms, invoices, or similar business documents
  
• Implement
  validation, confidence scoring, exception handling, and human review where
  needed
  
• Partner
  with stakeholders to deliver reliable, governed, and cost-conscious
  solutions
  

Required Experience

• Experience
  in Snowflake data engineering
  
• Experience
  with Streams, Tasks, Snowpipe, and related Snowflake pipeline
  patterns
  
• Experience
  with pipeline orchestration
  
• Experience
  troubleshooting slow, unreliable, or failing data pipelines
  
• Experience
  with LLM prompts and AI workflow design
  
• Experience
  evaluating LLM or AI solution quality
  
• Experience
  with document extraction, OCR-supported workflows, or intelligent
  document processing
  
• Strong
  SQL and data modeling fundamentals