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 - 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