Snowflake Data Engineer Platform Optimization
EXPERT RECRUITING SOLUTIONS, LLC
New York, NY, United States
5 days ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
Tech stack
Query Performance
Amazon Web Services
Amazon S3
Apache HTTP Server
Computing Platforms
Cloud Computing
Cloud Database
Cluster Analysis
Software Code Optimization
Databases
Information Engineering
Data Sharing
+6 more
Performance Tuning
SQL Databases
Snowflake
Caching
Data Lakes
Data Pipelines
Job description
- Design and validate Snowflake integrations with Amazon S3, Apache Iceberg, and Apache Polaris
- Analyze workloads, query performance, warehouse utilization, and consumption patterns to identify optimization opportunities
- Implement performance-tuning and cost-optimization strategies across databases, warehouses, pipelines, and dbt workloads
- Review platform incidents and workload failures to improve reliability, resiliency, monitoring, and operational controls
- Support workload benchmarking and placement assessments across Snowflake and AWS services
- Establish optimization recommendations, platform guardrails, and measurable cost-efficiency improvements
- Troubleshoot data pipeline issues and ensure compliance with Snowflake security and access control standards
- Monitor platform health and recommend operational best practices for credit consumption and concurrency management
Requirements
- 8-10 years of data engineering and cloud platform experience
- Expert-level proficiency with Snowflake platform architecture, SQL, and workload management
- Hands-on experience with query performance tuning, virtual warehouse optimization, clustering, and caching strategies
- Strong knowledge of storage optimization, credit consumption analysis, and concurrency management
- Proven expertise in Snowflake security, access controls, and data sharing configurations
- Solid understanding of cloud data architecture and integration patterns with AWS services
- Demonstrated ability to monitor systems, troubleshoot complex issues, and implement operational improvements
- Experience designing and validating integrations with Apache Iceberg, Apache Polaris, and S3-based data lakes
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