Systems Engineer - Mid
Core
Manage and optimize cloud data platforms (Snowflake, Databricks, Azure) to support enterprise analytics and AI/ML workloads, ensuring availability, performance, security, and cost efficiency.
Role type
Mid-level Systems Engineer (Data Platform)
Builds
Cloud data platforms and data pipelines for analytics and AI/ML teams
Domain
Cloud Data Engineering & Platform Administration
Deliverable
production ML models | infrastructure
Required skills
Snowflake administration, Databricks administration, SQL, Python scripting, PowerShell, Azure data services, platform security (RBAC, encryption, Entra ID), disaster recovery strategies, CI/CD practices
Preferred skills
Azure SQL, Azure Data Factory, AI services awareness
Technologies
Snowflake, Databricks, Azure SQL, Azure Data Factory, Entra ID
Responsibilities
Manage and optimize Snowflake and Databricks environments including performance tuning and cost controls; Build and maintain data pipelines using Databricks, Snowflake Streams/Tasks, and Azure Data Factory; Enforce security and governance controls including RBAC, encryption, and auditing; Tune queries and workloads using native profiling tools; Implement and maintain disaster recovery, replication, and backup strategies; Collaborate with data engineers, data scientists, and architects to support scalable data models; Provide production support, incident response, and root-cause analysis for data platform issues.
Seniority
Mid-level, hands-on IC