Systems Engineer

Responsibilities

• Manage and optimize Snowflake and Databricks environments, including performance tuning, cost controls, and scaling
• Build and maintain data pipelines using Databricks, Snowflake Streams/Tasks, and Azure Data Factory
• Enforce security and governance controls including RBAC, encryption, and Entra ID integration
• Tune queries and workloads using Snowflake Query Profile, Databricks SQL Analytics, and Azure Monitor
• Implement disaster recovery, replication, backup, and archival strategies
• Collaborate with data engineers, data scientists, and BI teams to support scalable data models
• Provide production support, incident response, and root-cause analysis
• Evaluate and adopt new platform features like Snowflake Native Apps and Databricks Unity Catalog

Requirements

• Hands-on Snowflake administration (warehouse management, query tuning, cost governance)
• Hands-on Databricks administration (workspaces, clusters, SQL Warehouses, Unity Catalog)
• Proficiency in SQL and scripting with Python and/or PowerShell
• Experience with Azure data services including Data Factory, Databricks, and Azure SQL
• Strong understanding of platform security, RBAC, and encryption
• Experience with backup, recovery, and DR strategies
• Familiarity with CI/CD and DevOps practices for data platforms
• BS in Computer Science, Engineering, Information Systems, or equivalent experience (5–7+ years)