Description

You will design, develop, and optimize scalable data solutions within a Snowflake-based Data Lakehouse environment.

This role is on-site.

Responsibilities

• Build and maintain scalable data pipelines for batch and near real-time streaming workloads.
• Develop ingestion frameworks for structured, semi-structured, and telemetry data sources.
• Implement Medallion Architecture layers (Raw, Silver, Curated) for downstream AI/ML consumption.
• Partner with ML Engineers and Data Scientists to define schemas and support semantic data layers.
• Monitor, troubleshoot, and optimize data processing performance, scalability, and reliability.

Required Skills

• 5+ years of experience in Data Engineering.
• Strong hands-on expertise with Snowflake as a Data Lakehouse platform.
• Experience designing complex data pipelines with streaming and micro-batch architectures.
• Proven ability to process structured and semi-structured data (including JSON).
• Experience building scalable distributed data platforms.
• Bachelor's degree in Computer Science or related field.
• Ability to drive projects from design through delivery independently.

Preferred Skills

• Experience with Medallion Architecture and Data Lakehouse environments.
• Background supporting AI/ML data platforms and LLMs.
• Familiarity with event streaming and real-time ingestion frameworks.

Key Skills

Education

Bachelor's degree