Lead Snowflake Data Engineer

Connvertex Technologies Inc.
New York, United States of America
4 days ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 220K

Job location

New York, United States of America

Tech stack

Artificial Intelligence
ARM
Cluster Analysis
Data as a Services
Information Engineering
Data Governance
Data Warehousing
Dimensional Modeling
Distributed Computing Environment
Python
Performance Tuning
Query Optimization
Sql Optimization
Snowflake
Backend
PySpark
Data Management
Data Pipelines

Job description

  • 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

About the company

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