Description

Key Responsibilities

• Design and validate Snowflake integration with Amazon S3, Apache Iceberg, and Apache Polaris.
• Analyze Snowflake workloads, query performance, warehouse utilization, concurrency, and consumption patterns.
• Identify and implement performance-tuning and cost-optimization opportunities 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.

Required Skills

• Strong hands-on Snowflake integration with Amazon S3, Apache Iceberg, Apache Polaris, or another Iceberg REST Catalog.
• Strong hands-on experience with the Snowflake platform, SQL, workload management, and query performance tuning.
• Experience optimizing virtual warehouses, storage, clustering, caching, concurrency, and Snowflake credit consumption.
• Knowledge of Snowflake security, access controls, data sharing, monitoring, and operational best practices.
• Experience troubleshooting complex data pipelines and platform performance issues.
• Strong understanding of cloud data architecture and integration patterns

Key Skills

Education

Any Gradute