As a Data Engineer on the Data and AI team, you willdesign and implement robust data pipelines and infrastructure thatpower our organization's data-driven decisions and AI capabilities.This role is critical in developing and maintaining ourenterprise-scale data processing systems that handle high-volumetransactions while ensuring data security, privacy compliance, andoptimal performance. You'll be part of a dynamic team that designsand implements comprehensive data solutions, from real-timeprocessing architectures to secure storage solutions andprivacy-compliant data access layers. The role involves closecollaboration with cross-functional teams, including softwaredevelopment engineers, product managers and scientists, to createdata products that power critical business capabilities. You'llhave the opportunity to work with leading technologies in cloudcomputing, big data processing, and machine learninginfrastructure, while contributing to the development of robustdata governance frameworks. If you're passionate about solvingcomplex technical challenges in high-scale environments, thrive ina collaborative team setting, and want to make a lasting impact onour organization's data infrastructure, this role offers anexciting opportunity to shape the future of our data and AIcapabilities. Key job responsibilities • Architect and driveadoption of enterprise-scale data platforms and frameworks,establishing technical standards for data products • Design datasecurity and compliance frameworks, automated enforcementmechanisms that scale across multiple data stores while meetingregulatory requirements. • Lead strategic technical initiatives fornext-generation data platforms, designing highly availabledistributed systems that support both real-time processing andbatch operations at enterprise scale, with particular focus onenabling advanced AI/ML capabilities. • Lead technical designreviews that impact multiple teams, mentoring senior engineers, andestablishing engineering excellence programs that elevateorganizational capabilities. • Develop enterprise-wide datagovernance frameworks, implementing automated testing strategies,monitoring quality, and self-healing capabilities that ensure datareliability across data products. • Drive innovation in dataengineering practices by evaluating emerging technologies, creatingtechnical roadmaps, and architecting solutions that improve systemscalability, performance, and cost-efficiency while positioning theorganization for future growth. • Partner with senior leadership totranslate business strategy into technical direction, influenceproduct roadmaps, and make architectural decisions thatfundamentally shape the organization's data landscape. A day in thelife As a Data Engineer III, your day begins by leadingcross-functional team stand-ups, where you guide technicaldecisions impacting enterprise-wide architecture. Your technicalleadership role involves architecting complex data solutionsspanning multiple domains such as designing real-time processingframeworks that will serve as the foundation for next-generationAI/ML capabilities. You will mentor Data Engineers providingtechnical guidance on complex problems while driving technicalexcellence across the organization. You establish engineering bestpractices and develop technical standards that serve multipleteams. You lead major technical initiatives such as platformmigrations and implementation of enterprise-scale data governanceframeworks. Your expertise is crucial in troubleshooting complextechnical issues and leading design reviews for critical datasystems. You participate in strategic planning sessions with seniorleadership, translating business objectives into technical roadmapsfor data infrastructure. By day's end, you've advanced multiplestrategic initiatives that shape the organization's data landscape.Your impact extends beyond your immediate team - you're arecognized technical leader whose architectural decisions andpatterns are adopted organization-wide, fundamentally influencinghow the organization leverages data for competitive advantage.About the team The Data and Artificial Intelligence (AI) team is anew function within Customer Engagement Technology. We own theend-to-end process of defining, building, implementing, andmonitoring a comprehensive data strategy. We also develop and applyGenerative Artificial Intelligence (GenAI), Machine Learning (ML),Ontology, and Natural Language Processing (NLP) to improve customerand associate experiences BASIC QUALIFICATIONS - 5+ years of dataengineering experience - Bachelor’s degree in Computer Science,Engineering, or a related technical discipline PREFERREDQUALIFICATIONS - Advanced degree (Master's) in Computer Science,Computer Engineering, or a quantitative field preferred -Experience in leading and architecting Data solutions using AWSdata services (Redshift, S3, Glue, EMR, Kinesis, Lambda, RDS,Bedrock) and understanding of IAM security frameworks. - Proventrack record of tackling highly ambiguous, complex data challengesand delivering impactful solutions. - Hands-on experience workingwith large language models, including understanding of datainfrastructure requirements for AI model training. Our inclusiveculture empowers Amazonians to deliver the best results for ourcustomers. If you have a disability and need a workplaceaccommodation or adjustment during the application and hiringprocess, including support for the interview or onboarding process,please visithttps://amazon.jobs/content/en/how-we-hire/accommodations for moreinformation. If the country/region you’re applying in isn’t listed,please contact your Recruiting Partner. Posted: May 8, 2025(Updated about 10 hours ago) Amazon is an equal opportunityemployer and does not discriminate on the basis of protectedveteran status, disability, or other legally protected status.#J-18808-Ljbffr
