[Remote] Snowflake Data Engineer – Platform Optimization
Note: The job is a remote job and is open to candidates in USA. RIT Solutions, Inc. is recruiting for a client seeking an experienced Snowflake Data Engineer to optimize and stabilize a cloud data platform. The role focuses on designing integrations, tuning performance, reducing costs, improving reliability, and establishing operational best practices across Snowflake and AWS infrastructure.
Responsibilities
- 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
Skills
- 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
- Remote Ok, preferred NY Locals
Benefits
- Remote work is allowed; New York locals are preferred.
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