Snowflake Administrator - DataOps

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

Tiger Analytics looking for a Snowflake Administrator - DataOps with 12-15 years of overall IT experience and strong hands-on experience supporting Snowflake administration, DataOps, and DevOps in enterprise environments. The ideal candidate will be responsible for managing and supporting the Snowflake platform, ensuring its availability, security, performance, scalability, and operational stability, while also supporting automation, deployment, monitoring, and DataOps processes.

Key Responsibilities

• Administer and support enterprise Snowflake environments, including accounts, databases, schemas, warehouses, roles, users, and access controls.
• Manage Snowflake security and access, including RBAC, role hierarchy, user provisioning, authentication, and data access policies.
• Monitor and optimize Snowflake performance and resource utilization, including virtual warehouses, queries, workloads, and credit consumption.
• Support Snowflake upgrades, configuration changes, maintenance, and production releases.
• Troubleshoot and resolve Snowflake platform, connectivity, performance, and data pipeline issues.
• Support DataOps and DevOps processes for Snowflake-based data platforms.
• Develop and maintain CI/CD pipelines for Snowflake database objects, code, configurations, and deployments.
• Automate administrative and operational activities using Python, SQL, Shell scripting, or similar technologies.
• Implement monitoring, alerting, logging, and operational dashboards for Snowflake environments.
• Support data ingestion and integration processes and troubleshoot failures across enterprise data pipelines.