A specialized role for a Snowflake Platform Administration & Performance Engineer role focuses on the seamless synergy between automated administration and high-tier workload optimization. This position is about transforming the data warehouse into an autonomous, high-performance engine that fuels real-time decision-making.
Performance Tuning & Optimization: Proactively monitor and tune workloads using Snowsight Performance Explorer and account usage schemas.\n\nYou will optimize query execution by analyzing query profiles for disk spillage, identifying Cartesian joins, and implementing Search Optimization Services or Query Acceleration where necessary. Lakehouse Implementation: Design and manage unified storage using Apache Iceberg to allow open-format data to be queried directly in Snowflake with warehouse-level performance. Python-Driven Automation: Develop advanced scripts and pipelines using Snowpark Python and Snowpark pandas APIs for scalable data transformations. Automate administrative tasks such as environment provisioning and security policy enforcement through Infrastructure as Code (IaC) tools like Terraform.\n\nCloud: Manage Snowflake Iceberg Tables in AWS cloud.Experience in cloud s3, gateway, private link, EKS, Load Balancing, VPC peering, and secure data sharing\n\nAdvanced Cost Management: Implement autonomous warehouse management, right-sizing clusters based on real-time usage patterns, and configuring auto-suspend/resume with 60-second timeouts to eliminate idle compute waste\n\nSnowflake Platform Administration: Manage accounts, virtual warehouses, and database objects. This includes configuring auto-scaling, monitoring warehouse utilization, and implementing backup strategies via Time Travel and Cloning\n\nSecurity & Governance: Implement Role-Based Access Control (RBAC), Multi-Factor Authentication (MFA), and data masking policies. You are responsible for ensuring compliance with data protection standards like GDPR or HIPAA
3+ years in database administration or Performance Tuning with specific hands-on Snowflake experience\nArchitecture Knowledge: Deep understanding of multi-cluster shared data architecture and micro-partitioning\nBachelor's Degree, Computer Science or equivalent degree or experience
Master's Degree, Computer Science or equivalent degree\n\nArchitecture Knowledge: Deep understanding of Snowflake's multi-cluster shared data architecture and micro-partitioning.\n\nCertifications: SnowPro Core Certification is highly preferred, along with cloud-specific associate or professional certifications\n\nPerformance Tuning & Optimization: Proactively monitor and tune workloads using Snowsight Performance Explorer and ACCOUNT USAGE schemas.\n\nYou will optimize query execution by analyzing query profiles for disk spillage, identifying Cartesian joins, and implementing Search Optimization Services or Query Acceleration where necessary.\n\nCost Optimization: Analyze credit consumption and query performance to reduce spend while maintaining SLAs\n\nPython-Driven Automation: Develop advanced scripts and pipelines using Snowpark Python and\nSnowpark pandas APIs for scalable data transformations. Automate administrative tasks such as environment provisioning and security policy enforcement through Infrastructure as Code (IaC) tools like Terraform.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 55487d6c99b433279a32d1a0cc732ab7
- Posted 4 days ago
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