Design, develop, and maintain scalable data pipelines and ELT/ETL workflows on Snowflake, integrating data from diverse internal and external sources. Architect and optimize Snowflake data models, schemas, and warehouses for performance, reliability, and cost efficiency. Implement and enforce data governance, security, role-based access controls, and data quality standards across the platform. Monitor and tune warehouse performance, query execution, and resource consumption to control costs and meet SLAs. Build and maintain CI/CD pipelines for data infrastructure using tools such as dbt, Git, and orchestration frameworks (e.g., Airflow). Leverage advanced Snowflake features — Snowpipe, Streams, Tasks, Time Travel, Dynamic Tables, and Snowpark — to deliver near-real-time and automated data solutions. Collaborate with analysts, data scientists, and business stakeholders to translate requirements into robust data solutions. Mentor junior engineers, conduct code reviews, and establish best practices for data engineering across the team.