Sr. Software Engineer, Music Data Platform Amazon
San Francisco, CA

Job Description

Amazon Music is awash in data! To help make sense of it all, the Music Data Platform team provides the self-service data platform enabling the organization to go big with data. Our platform is used by 45+ teams in music including BI, ML, and Data Engineering and enables repeatable, easy, in depth analysis of music customer behaviors. We reduce the cost in time and effort of analysis, data set building, model building, and user segmentation and provide secure and compliant tooling that scales. Our goal is to empower all teams at Amazon Music to make data driven decisions and effectively measure their results by providing a best in class data platform.

If you love the challenges that come with big data platform development then this role is for you. We're developing our next generation platform to manage secure and compliant petabyte scale data and provide the necessary tools for big data pipeline orchestration and ML model productionization. Our current infrastructure collects billions of events a day, manages petabyte scale data on Redshift and S3, and has data pipelines in Spark/Scala EMR, SQL based ETL, and Java services.

You are a talented, enthusiastic, and detail-oriented Sr. Engineer in Data Engineering or Software Development who knows how to take on big data platform challenges in an agile way. Duties include designing and building big data architecture to scale, mentoring and developing peers in the the Music Data Platform team including Data Scientists, Data Engineers, and Software Engineers. You'll enable Amazon Music's most important data pipelines and data sets, by building our data lake platform and enabling processing, publishing, sharing, and discovery of datasets and insights.

This role requires you to live at the cross section of data and engineering. You have a deep understanding of data, analytical techniques, and how to connect insights to the business, and you have practical experience in big data architecture. With our Amazon Music Unlimited and Prime Music services, and our top music provider spot on the Alexa platform, providing high quality, high availability data to our internal customers is critical to our customer experiences.

In 2019 your team will build out Amazon Music's data lake storage and EMR/Spark processing layers, automate the management of our Multi-Cluster Redshift Enterprise Data Warehouse, and further develop our machine learning platform capabilities. If these sounds like challenges you'd love, please apply today!

Amazon Music

Imagine being a part of an agile team where your ideas have the potential to reach millions. Picture working on cutting-edge consumer-facing products, where every single team member is a critical voice in the decision-making process. Envision being able to leverage the resources of a Fortune-500 company within the atmosphere of a start-up. Welcome to Amazon Music, where ideas are born and come to life as Amazon Music Unlimited, Prime Music, and so much more.

Everyone on our team has a meaningful impact on product features, new directions in music streaming, and customer engagement. We are looking for new team members across a variety of job functions including software engineering/development, marketing, design, ops and more. Come join us as we make history by launching exciting new projects in the coming year.

Our team is focused on building a personalized, curated, and seamless music experience. We want to help our customers discover up-and-coming artists, while also having access to their favorite established musicians. We build systems that are distributed on a large scale, spanning our music apps, web player, and voice-forward audio engagement on mobile and Amazon Echo devices, powered by Alexa to support our customer base. Amazon Music offerings are available in countries around the world, and our applications support our mission of delivering music to customers in new and exciting ways that enhance their day-to-day lives.

Come innovate with the Amazon Music team!