Description

You will design, build, and optimize scalable data solutions within Snowflake to support AI/ML consumption.

This role is remote.

Responsibilities

• Design and implement scalable data models (Data Vault, Dimensional Modeling) in Snowflake.
• Develop high-performance ELT pipelines using Snowpipe, Tasks, Streams, and Dynamic Tables.
• Optimize queries, clustering keys, and warehouse sizing for low-latency retrieval.
• Expose data to AI/ML developers via optimized views, UDFs, and Stored Procedures callable by Snowpark.
• Ensure data quality and policy adherence using Row Access Policies and Data Masking.

Required Skills

• Expert proficiency in Snowflake architecture, optimization, and advanced features (Streams, Dynamic Tables, Time Travel).
• Deep expertise in SQL and data modeling for high-volume, complex datasets.
• Strong hands-on experience with Python and Snowpark for custom transformation logic.
• Proven ability in data cleansing, feature engineering, and dimensional reduction.
• Experience structuring data specifically for AI/ML consumption.
• 5+ years of working experience.

Key Skills

Education

Any Gradute