Required Skills
Should have a good understanding of Snowflake architecture in detail - Database storage, Query Processing, cloud Services
Must have worked on user provisioning and access management (preferably automated)
Should have worked on data platform cost, credit consumptions, and optimizing the cloud spend.
Should know how to use of dedicated Virtual warehouse/ Multi-cluster Warehouse, partitioning, auto scaling, and auto clustering
Worked on Cache usage, Streams, SnowSQL, snowpipe, Secure Data sharing and automating data pipelines through Snowflake
Ability to automate using Advanced SQL and Python
Responsibilities
Responsible to architect snowflake implementation and database design
Create warehouses, databases, and all database objects (schemas, tables, etc.) and access management policies
Analyze production workloads and develop strategies to run Snowflake with scale and efficiency
Experience in Snowflake performance tuning, capacity planning, handling cloud spend and utilization
Lead all aspects of database security both at infrastructure and application level including recommending encryption, masking, and hashing where applicable.
Design and develop secure access to objects in Snowflake with Role-Based Access Control (RBAC)
Define and automate DBA functions
Employ recovery methods and agile development with Time Travel & Cloning
Develop operational best practices, monitoring, defining SLAs, and measuring metrics
Define and document best practices and support procedures and help on call
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Last updated on Jul 20, 2022