Lead Snowflake Data Engineer

New York, NY, US • Posted 10 hours ago • Updated 10 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Cloud Computing
  • Advanced Analytics
  • Use Cases
  • Analytics
  • Query Optimization
  • Clustering
  • Warehouse
  • Data Governance
  • Regulatory Compliance
  • Collaboration
  • Business Analytics
  • IT Management
  • Mentorship
  • Customer Facing
  • Data Engineering
  • Data Modeling
  • Performance Tuning
  • Optimization
  • Python
  • PySpark
  • SQL
  • Data Warehouse
  • ELT
  • Dimensional Modeling
  • Data Processing
  • Snow Flake Schema
  • Artificial Intelligence

Summary

Our client is seeking a Lead Snowflake Data Engineer to design, own, and deliver end-to-end data engineering solutions in modern cloud environments. This role requires full lifecycle ownership across Snowflake pipelines, data modeling, and performance optimization, with exposure to Cortex AI and advanced analytics use cases.

Responsibilities & Qualifications
  • Lead design and development of end-to-end ELT pipelines in Snowflake
  • Architect scalable, high-performance data models for analytics consumption
  • Build backend data services using Python and PySpark
  • Drive performance tuning (query optimization, clustering, warehouse scaling)
  • Leverage Snowflake Cortex AI or similar for advanced data capabilities
  • Enforce data governance, security, and compliance best practices
  • Collaborate across business, analytics, and engineering teams
  • Provide technical leadership and mentorship
  • Communicate architecture decisions in client-facing environments

Requirements
  • 10+ years of experience in data engineering or equivalent ownership of production systems
  • Deep expertise in Snowflake (data modeling, performance tuning, optimization)
  • Strong experience with Python, PySpark, and advanced SQL
  • Proven ownership of end-to-end data pipelines (ingestion transformation consumption)
  • Experience designing modern data warehouse architectures (ELT, dimensional modeling)
  • Strong understanding of distributed data processing and large-scale systems
  • Experience with Snowflake Cortex AI or similar AI-driven capabilities preferred
  • Ability to explain and defend architecture decisions and trade-offs
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91166607
  • Position Id: 4eb91944fb6d268e20fd1696a90a6f96
  • Posted 10 hours ago
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