Software Engineer, AI & Data Platforms

What you'll do

• Monitor and tune workloads using Snowsight Performance Explorer and account usage schemas.
• Optimize query execution by analyzing profiles for disk spillage and implementing Search Optimization Services.
• Design and manage unified storage using Apache Iceberg for open-format data in Snowflake.
• Develop data transformation pipelines using Snowpark Python and Snowpark pandas APIs.
• Automate environment provisioning and security policy enforcement using Terraform Infrastructure as Code.
• Implement autonomous warehouse management and right-size clusters based on real-time usage patterns.
• Manage Snowflake accounts, virtual warehouses, and database objects including auto-scaling and backup strategies.
• Implement Role-Based Access Control (RBAC), Multi-Factor Authentication (MFA), and data masking policies.

What we're looking for

• Experience with Snowflake platform administration.
• Experience in Data Engineering, Database Administration, or Performance Tuning.
• Bachelor's Degree in Computer Science or equivalent degree or experience.
• 2+ years in database administration or Performance Tuning with specific hands-on Snowflake experience (preferred).
• Master's Degree in Computer Science or equivalent degree (preferred).
• SnowPro Core Certification and cloud-specific associate or professional certifications (preferred).
• Deep understanding of multi-cluster shared data architecture and micro-partitioning (preferred).
• Experience with Python, Snowpark, Terraform, and AWS cloud services (preferred).