Shape the future of Amazon Pay's data architecture as the technical leader of our Platform team. In this pivotal role, you'll architect and lead the development of enterprise-scale datamarts that serve as the backbone of our international operations. This unique position combines deep technical database architecture expertise with strategic business intelligence leadership across emerging markets. Impact & Scope: - Design and architect sophisticated database schemas and data models that power critical business decisions across multiple geographies - Lead the technical vision for cross-market data integration, working with global infrastructure teams to create robust, scalable datamart solutions - Drive the evolution of our data platform architecture, ensuring it serves as the single source of truth for business intelligence, advanced analytics, and AI/ML initiatives. Also enhance capabilities with introduction of RAG and Graph readiness. - Champion data modeling best practices and innovative architectural solutions that scale across international markets What Makes This Role Unique: - Architect complex database solutions that bridge local and global reporting needs - Own end-to-end database design decisions that impact multiple business verticals - Drive architectural excellence in data modeling while leading a team of talented engineers - Influence the technical direction of Amazon Pay's international data platform - Experienced technical leader who excels in database architecture and data modeling, combined with strong business acumen. If you're passionate about designing scalable data solutions and want to lead transformational initiatives that span continents, while building the future of financial services, we want to talk to you. Key job responsibilities • Lead the architectural design and implementation of complex database schemas and data models that power Amazon Pay's international reporting platform. • Drive technical excellence in data modeling and datamart design, ensuring optimal performance, scalability, and reliability across enterprise-wide solutions. • Partner with global infrastructure teams to architect scalable ETL processes and data pipelines that align with worldwide tech stacks. • Establish data quality frameworks through robust database design, implementing controls to ensure data accuracy and accessibility. • Translate complex business requirements into efficient database structures, working closely with stakeholders to ensure alignment with reporting needs. • Provide technical leadership to BIE team members, fostering innovation while ensuring timely delivery of platform solutions. • Design and implement performance optimization strategies for large-scale datamarts, including partitioning, indexing, and query optimization. • Partner with ML/AI teams to architect database solutions that support advanced analytics capabilities. • Lead database architecture evolution initiatives, identifying opportunities for modernization and technical debt reduction. • Serve as a technical authority for database design decisions, ensuring architectural alignment between local and global tech teams. ### Basic qualifications - 10+ years of SQL experience - Knowledge of data warehousing and data modeling - Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc. ### Preferred qualifications - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Master's degree in statistics, data science, or an equivalent quantitative field Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.