Senior Data Engineer

📋 Description

• Architect Snowflake data platform for scalable isolation and downstream readiness.
• Drive agentic engineering with Snowflake Cortex, Cursor, and UiPath.
• Establish data observability with robust data quality frameworks.
• Operationalize ML with MLOps pipelines within Snowflake.
• Execute shared ownership across pipeline management, MLOps, and architecture.
• Model enterprise semantic data to support analytics and monetization.

🎯 Requirements

• 5+ years in data engineering; Snowflake RBAC, materialized views, Snowpipe.
• Advanced SQL and Python; strong ELT fundamentals.
• Business acumen to translate data into strategy.
• Observability focus; data quality; DataDog or equivalent.
• Experience building pipelines with Fivetran, AWS Glue/Lambda.
• Familiar with AI tools (Cursor, Cortex) and MLOps.

🎁 Benefits

• Remote-friendly role (LI-Remote).
• Opportunity to shape data platform and AI enablement.
• Collaborative, cross-functional engineering pod.
• Equal opportunity employer; value diversity.
• Impact on analytics products and data monetization.