Data Engineering Manager, Amazon Music Technology
We are seeking an ambitious Data Engineering Manager to join our Metrics and Data Platform team. The Metrics and Data Platform team plays a critical role in enabling Amazon Music’s business decisions and data-driven software development by collecting and providing behavioral and operational metrics to our internal teams. We maintain a scalable and robust data platform to support Amazon Music’s rapid growth, and collaborate closely with data producers and data consumers to accelerate innovation using data.
As a Data Engineering Manager, you will manage a team of talented Data Engineers. Your team collects billions of events a day, manages petabyte-scale datasets on Redshift and S3, and develops data pipelines with Spark, SQL, EMR, and Airflow. You will collaborate with product and technical stakeholders to solve challenging data modeling, data availability, data quality, and data governance problems.
At Amazon Music, engineering managers are the primary drivers of their team’s roadmap, priorities, and goals. You will be deeply involved in your team’s execution, helping to remove obstacles and accelerate progress. A successful candidate will be customer obsessed, highly analytical and detail oriented, able to work effectively in a data-heavy organization, and adept at leading across multiple different complex workstreams at once.
Key job responsibilities
- Hiring, motivating, mentoring, and growing a high-performing engineering team
- Owning and managing big data pipelines, Amazon Music’s foundational datasets, and the quality and operational performance of the datasets
- Collaborating with cross-functional teams and customers, including business analysts, marketing, product managers, technical program managers, and software engineers/managers
- Defining and managing your team’s roadmap, priorities, and goals in partnership with Product, stakeholders, and leaders
- Ensuring timely execution of team priorities and goals by proactively identifying risks and removing blockers
- Recognizing and recommending process and engineering improvements that reduce failures and improve efficiency
- Clearly communicating business updates, verbally and in writing, to both technical and non-technical stakeholders, peers, and leadership
- Effectively influencing other team’s priorities and managing escalations
- Owning and improving business and operational metrics of your team's software
- Ensuring team compliance with policies (e.g., information security, data handling, service level agreements)
- Identifying ways to leverage GenAI to reduce operational overhead and improve execution velocity
- Introducing ideas to evolve and modernize our data model to address customer pain points and improve query performance
About the team
Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Learn more at https://www.amazon.com/music.
BASIC QUALIFICATIONS
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience managing a data or BI team
- Experience leading and influencing the data or BI strategy of your team or organization
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience hiring, developing and promoting engineering talent
- Experience communicating to senior management and customers verbally and in writing
PREFERRED QUALIFICATIONS
- Experience with AWS Tools and Technologies (Redshift, S3, EC2)
- Experience in processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution)
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.
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