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.
At Amazon Music, big data fuels the growth of our business. To make sense of it all, the Metrics and Data Platform organization enables easy, deep, and repeatable analysis of Music customer data. We reduce the time and effort to collect data, develop events and dataset models, analyze behaviors, and deliver business reporting. Our mission is to empower all teams at Amazon to make data-driven decisions and confidently measure their results using high quality, reliable, and timely data, and self-service tools to discover and manage data.
If you love the challenges that come with big data, then this role is perfect for you. We collect billions of daily customer signals, manage petabyte-scale data across S3 and Redshift, and develop data pipelines using Airflow, Spark/Scala EMR, SQL based ETLs, and microservices. We offer self-service data management tools to automate data engineering tasks like migrations and backfills, and catalog all data for governance and discovery. We also own and operate a data lake used by 50+ Amazon teams.
You are an experienced, enthusiastic, and detail-oriented Software Development Manager who wants to lead a motivated team to solve complex big data problems. Your responsibilities include hiring, developing, and managing a cross-functional team of software and data engineers. You will guide your team to deliver across the entire project lifecycle, from design and development to deployment and operations. Your team owns mission-critical data platform services, pipeline orchestration frameworks, and a data warehouse. You will also spearhead new strategic initiatives to raise the bar on self-service analytics.
This role requires you to innovate at the intersection of software and data engineering. On the data side, you understand and practice data engineering best practices and analytical techniques, and communicate about data in business writing. On the software side, you build scalable, efficient, and resilient services, and influence the overall data product strategy to grow the business. You have practical experience in insisting on highest standards, building trust with customers, and coaching your team. In this role, you are also a site leader in Bengaluru and work with international teams across San Francisco, New York, and Mexico City.
Key job responsibilities
* Work backwards from customer needs to solve ambiguous problems within given constraints.
* Build and lead a world-class engineering team by hiring exceptional talent, fostering an inclusive culture, and inspiring your team to constantly raise the bar.
* Coach and develop team members across performance levels, providing targeted feedback and creating personalized career growth plans that align with organizational goals.
* Collaborate with leaders and stakeholders to define and execute a multi-year vision and strategy, aligning business needs with technical capabilities.
* Drive the execution of cross-functional programs from design to launch, delivering results incrementally.
* Communicate effectively with senior management, customers, and executives across geographical locations about complex features, status, risks, and changes.
* Tackle complex problems in a fast-paced, highly-technical environment, securing buy-in from diverse stakeholders.
* Manage cross-functional work, prioritizing tasks, resolving dependencies, and balancing business needs with technical constraints.
* Own and improve business and operational metrics of your team's software.
* Introduce and refine mechanisms to create lasting improvements in processes and outcomes.
About the team
The Metrics Data Foundations team own the modeling, ingestion, processing, serving, and management of Amazon Music behavioral data. They serve 100+ teams to process events, generate datasets, and share data by operating highly available services, compute and data pipeline orchestration, a data warehouse. This role will lead our batch data platform team that owns our data lake, data metadata collection and cataloging, and data management tools. You will work with a co-located partner team that builds on your services to develop and offer Music foundational datasets, business reporting, and insights that serve as the backbone of our business intelligence.
- 7+ years of engineering experience
- 3+ years of engineering team management experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
- Effective written and verbal communication skills
- Experience is building data solutions
- Experience with leading effective engineering teams
- Expertise with big data technologies
- Strong system design experience