Snowflake Data Architect

• Strong hands-on experience in data engineering using Snowflake with proven ability to build and optimize large-scale data pipelines.
• Deep understanding of data architecture principles, including ingestion, transformation, storage, and access control.
• Solid experience in system design and solution architecture, focusing on scalability, reliability, and maintainability.
• Expertise in ETL/ELT pipeline design, including data extraction, transformation, validation, and load processes.
• In-depth knowledge of data modeling techniques (dimensional modeling, star, and snowflake schemas).
• Skilled in optimizing compute and storage costs across Snowflake environments.
• Strong proficiency in administration, including database design, schema management, user roles, permissions, and access control policies.
• Hands-on experience implementing data lineage, quality, and monitoring frameworks.
• Advanced proficiency in SQL for data processing, transformation, and automation.
• Experience with reporting and visualization tools such as Power BI and Sigma Computing.

Excellent communication and collaboration skills, with the ability to work independently and drive technical initiatives.