The position centers on building and operating a scalable Snowflake platform on AWS, with responsibility for system design, performance tuning, cost management, and dependable 24x7 operations in partnership with engineering teams.
Responsibilities
• Design and operate a secure, multi-environment Snowflake platform on AWS, including account, region, and network strategy.
• Drive performance and cost efficiency through smart warehouse configuration, scaling policies, workload isolation, and usage monitoring.
• Improve query speed and data layout using clustering, micro-partitioning, Search Optimization, Dynamic Tables, and materialized views.
• Apply modern table and storage patterns, including transient and external/Iceberg tables, plus zero-copy cloning for development workflows.
• Establish strong security and governance using RBAC, masking and row policies, object tagging, SSO/OAuth, PrivateLink, and KMS.
• Build observability and alerting with Snowflake system views and cloud-native tools; define and track SLAs/SLOs.
• Implement resilience and recovery capabilities such as Time Travel, cross-region replication, and failover.
Qualifications
• 5+ years in database or data engineering, with 3+ years operating Snowflake in production environments.
• Deep experience tuning Snowflake workloads and managing consumption at scale.
• Hands-on AWS expertise (S3, IAM/KMS, VPC/PrivateLink, CloudWatch).
• Advanced SQL and Python skills; Snowpark experience is a plus.
• Experience with automation, CI/CD, and infrastructure as code (Terraform, Git).
• Strong analytical skills, clear communication, and thorough documentation habits.
Preferred
• Experience with Snowflake Cortex AI or Unistore/Hybrid Tables.
• Familiarity with External/Iceberg tables and data sharing.
• Exposure to dbt, Airflow, or Fivetran.
• Cross-region DR implementations; Snowflake or AWS certifications.
