The Role
The Lead Snowflake Data Engineer will design and deliver data engineering solutions, manage data pipelines, and mentor teams in cloud environments.
Summary Generated by Built In
PLEASE NOTE:
- It is a 100% Onsite position in New York, NY
JOB DESCRIPTION:
- We are seeking a Lead Snowflake Data Engineer to design, own, and deliver end-to-end data engineering solutions in modern cloud environments.
- This role focuses on building scalable, high-performance data pipelines using Snowflake and Cortex AI, with full lifecycle ownership—from ingestion and transformation to modelling, optimization, and consumption.
KEY RESPONSIBILITIES:
- Lead the design and development of end-to-end ELT pipelines using Snowflake
- Architect scalable data models optimized for performance, cost, and analytics consumption
- Build and maintain backend data services using Python and PySpark
- Leverage Snowflake Cortex AI to enable advanced analytics and intelligent data products
- Drive performance tuning across pipelines, including query optimization, clustering, and warehouse scaling
- Enforce best practices in data governance, security, and compliance
- Collaborate across business, analytics, and engineering teams to deliver high-quality solutions
- Provide technical leadership and mentorship to engineering teams
- Communicate architecture decisions and trade-offs effectively in client-facing environments
Requirements
REQUIRED QUALIFICATIONS:
- 10+ years of experience, or equivalent ownership of production-grade data platforms
- Deep expertise in:
- Snowflake (data modeling, performance tuning, optimization)
- Python and PySpark
- Advanced SQL
- Proven ability to design and deliver end-to-end data pipelines (ingestion transformation modeling consumption) in cloud environments (AWS preferred)
- Required: Ownership of at least one production-grade Snowflake pipeline end-to-end
- Strong foundation in modern data warehousing:
- Dimensional modeling (star/snowflake schemas)
- ELT/ETL design patterns
- Data marts and optimization strategies
- Experience with distributed data processing and large-scale datasets
- Hands on experience with Snowflake Cortex AI integration
- Working knowledge of React.js or similar frameworks
- Strong understanding of data governance, security, and compliance
- Ability to:
- Clearly explain and defend architectural decisions
- Design systems that perform reliably at scale
- Balance performance, cost, and maintainability
TECHNICAL DEPTH:
MUST HAVE:
- Candidates should be able to clearly explain and apply the following in real-world scenarios:
- Snowflake Performance & Scaling
- Warehouse scaling modes (auto-scale, multi-cluster) and when to use them
- Clustering keys and performance trade-offs
- Cost vs performance optimization strategies
- Snowflake Storage & Optimization
- Micro-partitioning and its impact on pruning and query performance
- Practical optimization techniques for large datasets
- End-to-End Pipeline Design
- Designing a complete ELT pipeline using Snowflake
- Deciding where transformations should occur (Snowflake vs external processing)
- Ensuring scalability, maintainability, and performance across the pipeline Engagement.
Skills Required
- 10+ years of experience in data platforms
- Deep expertise in Snowflake
- Deep expertise in Python and PySpark
- Deep expertise in Advanced SQL
- Ownership of at least one production-grade Snowflake pipeline
- Experience with distributed data processing
- Hands on experience with Snowflake Cortex AI integration
- Working knowledge of React.js or similar frameworks
- Strong understanding of data governance and security
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The Company
What We Do
Omm IT Solutions is a leading provider of IT consulting, analysis, and advisory services, specializing in delivering technical solutions for federal and state government agencies. Their offerings include application development, cybersecurity services, cloud advisory, network modernization, and data analytics.
