• End to end ownership of our data warehousing infrastructure, its KPIs and its SLAs. • Design, build, and optimize large-scale, high-performance data pipelines to support analytics, product insights, and operational workflows. • Architect and evolve Sezzle’s data ecosystem, driving improvements in reliability, scalability, and efficiency. • Help Sezzle evolve our data systems beyond the current scale and stack with whatever tooling is necessary to handle processing high volumes of events and performing complex ETL. • Lead development of ETL/ELT workflows on our current tooling using Redshift, DBT, AWS DMS, and related modern data tooling. • Partner with cross-functional teams (engineering, analytics, product, finance, risk) to gather or adapt requirements and deliver robust, high-quality datasets. • Evaluate and integrate new technologies, guiding the evolution of Sezzle’s data stack and infrastructure. • Optimize Redshift and warehouse performance, including query tuning, modeling improvements, and cost management.