The Senior Director, Data / ETL Architect has advanced technical knowledge and state of the art enterprise data architecture expertise and can effectively articulate/evangelize data integration and access solutions across the Movement. This innovative individual is an integral member of the Data Engineering team, providing strategic direction on modernizing data architecture and innovative solutions (data fabric, Large Language Models (LLMs), and Artificial Intelligence) to meet the needs of the organization. This position also has an operational responsibility for 15+ data pipelines and integrations serving several mission critical applications including the Enterprise Data Warehouse. The complexity and uniqueness of the Girl Scout technology stack requires a diverse range of Extract, Transform, Load (ETL/ELT) development and data architecture experience across multiple platforms, formats, and extraction methods. This requires expertise on a variety of platforms and projects such as: Snowflake integration; AWS cloud migration; centralized ETL; data warehouse modeling, building new data pipelines; and broadening existing data integration services to support our data domains. As the Girl Scout technology ecosystem grows, the individual is responsible for designing and building the processes necessary to make the data consumable and ready for use to solve the tough challenges of our business. The GSUSA Enterprise Data Warehouse serves the entire organization as well as our 112 Councils. The scale and complexity of the implementation consists of over 2 million active members; over 18 years of history from three generations of operational systems; and fact tables with hundreds of millions of records. The Senior Director, Data / ETL Architect works with Technology and Analytics & Insights Leadership to understand the organization and community objectives and provide strategic and innovative solutions that leverage data to grow our membership and increase revenue. They will make data useful by designing, developing and maintaining scalable data pipelines from multiple sources; building out new API integrations to support continuing increases in data sources, volume and complexity; addressing data quality issues; modeling, transforming, distilling, combining and delivering it to a repository or consuming system in a performant manner. This position will work with various forms of data (xml, json, text, csv, etc,) and data sources (APIs, server logs, external data, no-sql, etc). Ultimately, it will be the Data/ETL Architect that manages Girl Scouts' complex data landscape in today's world.