Key Responsibilities

📍Snowflake Data Warehouse Management 📍Architect and manage our Snowflake environment (schemas, warehouses, users, roles) 📍Design and implement data models using Bronze → Silver → Gold layer architecture 📍Write advanced SQL to transform, clean, and aggregate data from multiple sources 📍Optimize query performance and costs in Snowflake 📍Implement data governance and security best practices 📍Data Pipeline & Integration Management 📍Configure and maintain ETL/ELT tools (Fivetran, Airbyte, or similar) to sync data into Snowflake 📍Connect data sources: HubSpot (CRM/marketing), ad platforms (Meta, Google, TikTok), Stripe (payments), and analytics tools 📍Monitor pipeline health, troubleshoot data consistency issues, and ensure data freshness 📍Handle schema changes and API updates

Must-Have Skills:

📍4-6+ years as Analytics Engineer, Data Engineer, or BI Developer 📍Expert-level Snowflake experience (this is the #1 requirement) 📍Built production Snowflake data warehouses 📍Designed schemas and optimized performance 📍Advanced SQL proficiency - Complex joins, CTEs, window functions, query optimization 📍ETL/pipeline experience - Configured tools like Fivetran, Airbyte, or Stitch 📍Data modeling expertise - Dimensional modeling, star schemas, fact/dimension tables 📍BI tool experience - Built executive dashboards in Sigma, Tableau, Power BI, Looker, or similar

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