Snowflake Administration

Snowflake Administration

Technology-Snowflake administration, RBAC Preferred Qualifications: • Experience supporting Snowflake Cloud deployments and understanding of cloud-based operational considerations. • Exposure to workload management practices such as warehouse sizing strategies, resource monitoring, and cost optimization. • Familiarity with data platform governance practices, including access reviews, audit readiness, and policy-driven controls. • Experience creating operational dashboards/alerts and contributing to incident response and post-incident improvements. • Proven ability to improve reliability through documentation, automation of repeatable tasks, and process standardization. Key Responsibilities: • Administer and support Snowflake environments, including warehouses, databases, schemas, roles, and resource monitors. • Manage user access and security using RBAC, ensuring least-privilege access and consistent governance practices. • Monitor platform health, performance, and query behavior; identify bottlenecks and recommend tuning actions. • Perform routine operational tasks such as usage tracking, cost monitoring, and warehouse sizing/auto-suspend optimization. • Support data onboarding activities, including object setup, permissions, and coordination with engineering/analytics teams. • Troubleshoot incidents related to access, performance, and workload failures; provide timely resolution and clear updates. • Maintain documentation for administration procedures, runbooks, and standard operating processes. • Assist with implementing and maintaining best practices for environment hygiene, naming standards, and change management. Minimum Qualifications: • BTECH, MTECH, MCA, or MSC. • 2–3 years of hands-on experience in Snowflake administration and Snowflake platform operations. • Working knowledge of Snowflake security concepts (users, roles, grants) and administrative controls. • Ability to monitor and troubleshoot Snowflake performance and operational issues using platform tools and query history. • Strong communication skills to collaborate with data engineering and analytics stakeholders on operational needs.