Job Description
Design, build, and optimize high-volume, high-performance ELT pipelines to load data into our centralized data warehouse. This data will be modelled for performance and will serve as the single source of truth for visual 3D experiences, machine learning feature engineering, and critical business intelligence reporting. Collaborate closely with Product, ML Engineers, Data Scientists, and DevOps to define and enforce a reliable, scalable, and secure data platform architecture, paying special attention to data warehousing standards, data quality, and metadata management within the warehouse environment. Take ownership of key data warehouse components, driving their initial development, deployment, operational monitoring, and continuous improvement to ensure maximum availability and performance for downstream consumers. Provide technical leadership through data architecture reviews, system design discussions, and improving team processes and data engineering best practices. Leverage your knowledge and expertise to help shape our engineering and data-driven culture. Unblock, support, and communicate with internal and external partners to achieve results, with a focus on data accessibility and usability. Help us build a strong team through mentorship and by participating in the hiring process.
About Leap Tools
At Leap Tools, they are building the world's most advanced solutions for the interior décor industry.