Senior Snowflake Engineer

Responsibilities & Qualifications

• Build and maintain automated and manual data ingestion pipelines into Snowflake, with support for diverse data sources and formats
• Design and implement data transformations, mappings, and reusable UDFs across ingestion layers to ensure data quality and consistency
• Optimize Snowflake workloads and pipelines for performance, reliability, and cost efficiency
• Support architectural decisions regarding cloud connectivity, platform configuration, and warehouse/lakehouse design patterns
• Deliver prioritized use cases through iterative cycles including design, build, UAT, operational testing, and production deployment
• Establish and document reusable platform capabilities and best practices to accelerate future use case delivery
• Support production readiness, deployment, rollback, recovery, and business continuity procedures
• Collaborate on complex data modeling for transactional systems, trading platforms, and ERP environments

Requirements

• 10–15 years of hands-on experience with data engineering, cloud platforms, andSQL-based data warehousing
• Advanced proficiency inSnowflake including performance tuning, access controls, and multi-layer architecture patterns
• Strong expertise inAWS services including S3, Glue, Lambda, Athena, EMR, and Redshift
• Demonstrated experience withdata modeling,ETL/ELT design, and lakehouse/warehouse architectural patterns
• Background building data solutions for transactional systems, trading platforms, or ERP environments
• Solid understanding of cloud-based data architectures and scalability considerations
• Experience with version control, CI/CD pipelines, and collaborative development practices