Snowflake Admin

Snowflake Admin

• Primary skills:Snowflake Admin-Technology->Data on Cloud-DataStore->Snowflake,Technology->Infrastructure-Server Administration->Linux Admin Minimum Qualifications: • Bachelor’s degree (or equivalent) in Engineering, Computer Science, or a related discipline. • 3–5 years of overall experience with at least 3 years in Snowflake Administration and platform operations. • Strong understanding of Snowflake security concepts (RBAC), warehouse management, and account-level administration. • Experience monitoring and troubleshooting Snowflake performance and operational issues in production environments. • Ability to create clear operational documentation and follow structured support processes. Preferred Qualifications: • Hands-on experience with Snowflake Cloud Data Platform features such as resource monitors, data sharing, and usage analytics. • Experience implementing governance practices including auditing, access reviews, and least-privilege security models. • Exposure to automation for administrative tasks (e.g., scripting, scheduling, and repeatable operational workflows). • Familiarity with performance tuning patterns such as clustering considerations, query optimization, and workload isolation strategies. • Proven ability to partner with cross-functional teams to improve reliability, reduce incidents, and enhance platform standards. Good to have skills: SQL, Python scripting, AWS/Azure/GCP fundamentals, CI/CD basics, Monitoring & alerting tools (e.g., Splunk/Datadog/CloudWatch). Key Responsibilities: • Administer Snowflake environments including users, roles, RBAC, warehouses, databases, schemas, and resource monitors. • Monitor platform health, query performance, and warehouse utilization; identify bottlenecks and recommend tuning actions. • Manage access controls, data security policies, and auditing to ensure compliance with organizational standards. • Implement and maintain operational processes for incident management, troubleshooting, and root-cause analysis. • Support onboarding of new data workloads and teams by configuring compute, storage, and permissions appropriately. • Optimize cost and performance through warehouse sizing, auto-suspend/auto-resume strategies, and usage reporting. • Maintain documentation for configurations, runbooks, operational procedures, and platform standards. • Collaborate with engineering and analytics teams to ensure reliable data availability and smooth release/change management.