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
Job description provided by Kumaran Systems.
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