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Amazon.com Services LLC in Seattle is seeking an experienced software engineering leader to design and deliver scalable data lake analytics platform components, drive architecture decisions, and mentor a team of top engineers. You will work with data scientists, data engineers, and product partners to unlock the next generation of analytics at Amazon scale.
The role emphasizes distributed systems, large‑scale storage, and integration with AWS services like S3, EMR, Glue, and Redshift.
Amazon is big and very data driven. Interested in building the next generation analytics platform to make this easy at an Amazon scale?
Amazon's BDT organization is building a new data lake marketplace allowing for data producers and consumers to easily and securely share large volumes of data, run massively parallel analytics and share the gained insights.
As part of the BDT organization, we are developing the core services of the data lake that includes cataloging, storage, access, compliance and quality and we're looking for top engineers to build it from the ground up.
This is a hands-on position where you will be do everything from designing and building highly efficient Big Data storage and components with state-of-the-art features for optimized analytical and AI workflow on variety of computes like Spark, Redshift, Athena, EMR, Ray, mentor other engineers and work with our business partners, data engineers and analysts to help them get the best results. You need to not only be a top software developer with excellent programming skills with a stellar record of delivery but also show bias for customer obsession. You need to have a real passion for very large scale storage, catalog, databases and massively parallel computing. You will work with the latest AWS technologies in the big data space such as S3, EMR, Glue, Redshift and Athena to build new applications that leverage these technologies and open source frameworks like Iceberg, Apache Spark, Hive, Presto and Flink.
Your responsibilities will include:
A successful candidate will have a background in the leading team that owns distributed systems, a solid technical foundation, good communication skills, and a motivation to achieve results in a fast paced environment. As part of this role you will:
Business Data Technology mission is to accelerate Amazon's data-driven business, enable the next generation of analytics and machine learning technologies at scale, and raise the bar on global customer trust by cataloging, protecting, enriching, and brokering all SDO data through its lifecycle. Enterprise Data & Catalog (EDC)'s vision is to provide unified data access, fine-grained access controls, and enriched, descriptive metadata across all SDO data for all commonly used formats and storage types. AndesCairns mission is to provide bestofbreed storage, catalogandcompute for the largestdataandhighestscaleanalyticalandAIjobs.
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 locatio