Snowflake Data Engineer – Platform Optimization

Snowflake Data EngineerOur client is seeking an experienced Snowflake Data Engineer to optimize and stabilize their cloud data platform. You will design integrations, tune performance, reduce costs, and establish best practices across Snowflake and AWS infrastructure.Responsibilities & QualificationsDesign and validate Snowflake integrations with Amazon S3, Apache Iceberg, and Apache PolarisAnalyze workloads, query performance, warehouse utilization, and consumption patterns to identify optimization opportunitiesImplement performance-tuning and cost-optimization strategies across databases, warehouses, pipelines, and dbt workloadsReview platform incidents and workload failures to improve reliability, resiliency, monitoring, and operational controlsSupport workload benchmarking and placement assessments across Snowflake and AWS servicesEstablish optimization recommendations, platform guardrails, and measurable cost-efficiency improvementsTroubleshoot data pipeline issues and ensure compliance with Snowflake security and access control standardsMonitor platform health and recommend operational best practices for credit consumption and concurrency managementRequirements8–10 years of data engineering and cloud platform experienceExpert-level proficiency with Snowflake platform architecture, SQL, and workload managementHands-on experience with query performance tuning, virtual warehouse optimization, clustering, and caching strategiesStrong knowledge of storage optimization, credit consumption analysis, and concurrency managementProven expertise in Snowflake security, access controls, and data sharing configurationsSolid understanding of cloud data architecture and integration patterns with AWS servicesDemonstrated ability to monitor systems, troubleshoot complex issues, and implement operational improvementsExperience designing and validating integrations with Apache Iceberg, Apache Polaris, and S3-based data lakes