Engineering Manager, Amazon

• Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding
• Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software
• Experience working directly with business stakeholders to translate between data and business needs
• Experience leading and influencing the BI strategy of your team or organization
• Experience working with very large data warehousing environment
• Experience managing a data or BI team
• Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations

Desirable

• Are you a hands-on leader passionate about automation, logistics and solving complex problems at vast scale
• Join our mission to build foundational systems that shape the future of Amazon's global fulfillment network
• As a Business Intelligence Manager, you will be responsible for leading a team of motivated engineers in design, development, test and launch of new features and products
• You will own services which model Amazon's fulfilment network capabilities and constraints, enabling optimization for how Amazon fulfils an item from click until delivery
• These services improve customer experience by providing faster promises and drive fulfillment planning and execution to lower transportation cost
• Lead and manage a team of junior and mid-level business intelligence engineers, data engineers and software development engineers
• Establish team business practices, roles and responsibilities, and professional development opportunities
• Build and maintain the data infrastructure to answer business questions with data using data engineering best practices
• Define the data engineering processes that leverage various AWS services to improve accessibility, redundancy, data integrity, cost, and storage requirements
• Collaborate with Data Engineers, Business Intelligence Engineers, Data Scientists, Business Analysts, and Product/Program Managers to understand the business and technical requirements, and make decisions that help make the products/programs smoother
• Interface with other technology/data engineering teams to extract, transform, and load data from a wide variety of data sources using and AWS data technologies
• Lead the technical design and implementation of the data infrastructure
• Design and manage data audit, quality, and reconciliation processes in collaboration with various stakeholders
• To be successful in the role, you need strong team management, communication and analytical skills, alongside with the ability to manage stakeholders’ expectations to deliver the strategic plan with your team
• You will work in a collaborative and empowering work environment where cross-functional teamwork drives success, and your expertise in data-driven innovation is highly valued
• You’ll have the autonomy to lead initiatives, the support to grow professionally, and the opportunity to make a meaningful impact by delivering actionable insights that shape key business decisions
• The Network Flow and Technologies (NFT) team is responsible for building data solutions that drive operational efficiency and enhance the Amazon customer experience
• We work across the supply chain to optimize for the network, while minimizing complexity and reducing variation to ensure streamlined operations and consistent outcomes
• By providing comprehensive reporting, insightful attribution, and accurate forecasting, we empower our stakeholders to understand what happened, why it happened, and what will happen next
• We own the results, not just the technology
• We rigorously audit outputs with metrics and experiments, ensuring accuracy and holding dependencies accountable for input quality