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Amazon’s BDT organization is building a new data lake marketplace to enable data producers and consumers to share large data volumes securely and at scale. This hands-on leadership role focuses on designing and building storage, catalog, and compute services for analytics and AI workloads using AWS tech like S3, EMR, Glue, Redshift, and Athena.
You will lead a team of software engineers, mentor career growth, and partner with product teams to drive architectural strategy and fast iteration in a
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. Andes Cairns mission is to provide best of breed storage, catalog and compute for the largest data and highest scale analytical and AI jobs.
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 - 184,900.00 - 250,200.00 USD annually