Snowflake Data Engineer

Position summary: We are seeking enterprise-grade Senior Snowflake Data Engineers with a decade of proven data engineering mastery to lead the architecture, optimization, and scaling of our data infrastructure. In this role, you will design robust ELT/ETL pipelines, build scalable data warehouse models, and translate data strategies into high-performance products. You will leverage advanced Snowflake features, modern programming environments, and secure cloud platforms to provide clean, reliable data assets to cross-functional teams including Consumer Insights, Supply Chain, and Finance. Required skills: 10+ years of dedicated Data Engineering experience, with at least 5+ years of core specialization in Snowflake. Deep practical expertise in Snowflake security and administration (RBAC management, virtual warehouses) and advanced features (Streams, Tasks, Zero-Copy Clone, Time Travel, and custom File Formats). Expert-level SQL development background with advanced mastery of structural query writing, indexing, and performant Stored Procedures. High proficiency working with no-code/low-code ETL orchestration tools alongside strong programmatic capabilities in at least one modern language (Python, Java, or C#). Strong hands-on experience deploying data frameworks within major public cloud computing ecosystems (AWS, Azure, or GCP). Deep understanding of data warehousing paradigms, data modeling (Star/Snowflake schema), cleansing methodologies, and rigid data governance guardrails.