About SwapAt Swap, we are revolutionizing the world of agentic commerce through our innovative AI-native platform, which seamlessly integrates backend operations with a cutting-edge storefront experience. Designed for brands eager to sell anything, anywhere, Swap centralizes global operations, enhances intelligent workflows, and enables strategic decision-making with real-time data insights. Our diverse product offerings include solutions for cross-border transactions, tax compliance, returns management, demand planning, and our next-generation storefront, empowering merchants with transparency and confidence in their operations.We are committed to fostering a workplace culture that prioritizes clarity, creativity, and shared ownership as we transform global commerce.About the RoleWe are seeking a dedicated and pragmatic Lead Analytics Engineer to join our Analytics Engineering team, playing a pivotal role in scaling our data infrastructure for a new era at Swap. This leadership position offers significant ownership and the opportunity to directly influence the development and implementation of a modern, scalable data architecture. You will be responsible for leading the creation and upkeep of the data models that drive our business operations, from delivering internal insights for Sales and Finance to providing reliable data sets for our customer-facing systems.We are looking for a hands-on leader who is enthusiastic about steering our high-quality dbt project, defining our analytics vision, and mentoring the team as we expand our data models and capabilities. If you excel in a dynamic, collaborative environment and are eager to make a substantial impact, we would be thrilled to hear from you!Key Responsibilitiesdbt Project Leadership: Spearhead the technical vision, architecture, and expansion of our dbt project, establishing development best practices, CI/CD standards, and ensuring high code quality across the team.Strategic Data Modeling & Architecture: Lead the strategic design and maintenance of a robust, scalable, high-performance core data warehouse (fact and dimension models) that serves as the authoritative source for all critical business functions and data products.Data Governance & Quality: Implement and uphold advanced data quality frameworks, comprehensive testing, PII governance protocols, and documentation standards to ensure data integrity and reliability at scale.Cross-Functional Data Strategy: Act as a vital strategic partner to commercial (Sales, Finance) and product leadership, proactively identifying data opportunities, translating complex business objectives into actionable engineering requirements, and managing the delivery roadmap.
Jan 6, 2026
