Senior Data Engineer

Architect for the Future:

• Optimize existing Snowflake architecture with strict environmental isolation and scalable structures.
• Prepare data for downstream commercialization and product offerings.

Drive Agentic Engineering:

• Leverage Snowflake Cortex, Cursor, and UiPath to automate workflows and build semantic models.
• Deploy agents that accelerate time-to-value.

Establish Data Observability:

• Implement robust data quality and observability frameworks for pipeline reliability.
• Ensure proactive issue resolution.

Operationalize Machine Learning:

• Design and maintain MLOps pipelines for seamless rollout and monitoring of ML models.
• Support ML lifecycle management directly within Snowflake.