Senior Manager, Data Engineering, AWS Analytics Engineering

The AWS Analytics Engineering (AAE) organization is the analytics backbone of AWS. We build and operate the data systems that drive business decisions across more than 150 AWS services. Every insight that Basic qualifications: - Bachelor's degree - Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization - Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders - 10+ years of data engineering experience with 5+ years in engineering management roles leading data engineering teams - Experience managing teams of 15–25+ engineers across multiple levels (L4–L6), including hiring, developing, and promoting senior engineers - Deep hands-on data engineering background — data modeling, ETL/ELT pipelines, data architecture, and warehouse operations at scale - Experience owning both platform infrastructure and data content — accountability for dataset accuracy, data model quality, schema governance, and downstream consumer trust - Experience owning delivery roadmaps and translating architectural strategy into executable team plans with measurable outcomes - Experience with AWS data services (Redshift, S3, Glue, EMR, Kinesis, Lambda) or equivalent cloud data platforms - Track record driving operational excellence: on-call management, SLA tracking, incident response, and reliability improvement Preferred: - Experience in Redshift, or experience in managing and troublshooting network and experience in any Bigdata architecture - Experience coordinating between technical teams, peers and business stakeholders - Experience building and driving talent sourcing initiatives and pipelines - Experience working in large teams or at a national/multinational organization, or experience in building financial and operational reports/data sets that inform business decision-making - Experience leading platform modernization programs — migrating legacy data warehouses to modern architectures (serverless, lake-house, Iceberg) while maintaining business continuity - Experience building and enforcing org-wide data content standards — data modeling conventions, dataset certification programs, data catalog management, and self-service data discovery - Experience driving AI/ML adoption within data engineering organizations — introducing agentic frameworks, LLM-assisted development, and automation to accelerate team velocity - Experience with cost optimization at organizational level — managing $M+ infrastructure budgets and driving efficiency improvements - Experience operating in multi-account AWS environments with complex security, compliance, and governance requirements - Demonstrated ability to raise the bar — have promoted engineers, built interview loops, and materially improved team capabilities and engineering culture Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 202,300.00 - 273,700.00 USD annually