Senior Manager of Data Engineering & Business Intelligence, Alexa Audio

About the role

Alexa Audio manages the end-to-end customer listening experience for Alexa+ customers worldwide — across all endpoints, in all geos, and for Alexa's global Audio providers including Amazon Music, Apple Music, Spotify, Deezer, and more. Our team ensures that hundreds of millions of customers can discover, play, and enjoy audio content seamlessly through Alexa.

Responsibilities

• Design and scale the data infrastructure that powers Alexa Audio's key business metrics across all content types (music, radio, podcasts, audiobooks, generative audio), endpoints, geos, and providers
• Implement data ingestion routines — both real-time and batch — using best practices in data modeling and ETL/ELT processes, leveraging AWS technologies and big data tools
• Gather business and functional requirements from product, leadership, and partner teams and translate them into robust, scalable, operable solutions with flexible and adaptable data architecture
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for stakeholders
• Own technical delivery and team leadership for development and maintenance of scalable ETL/big data pipelines, semantic layers, and dashboard data models
• Own and evolve WBR/MBR reporting, self-service analytics, and ad hoc deep-dive capabilities
• Collaborate with Product Management, BI teams, and stakeholders to prioritize work aligned with Alexa Audio business goals
• Establish best practices for data engineering, including code reviews, testing, monitoring, and documentation
• Drive team growth through mentoring, coaching, and career development
• Reduce time-to-insight for product, leadership, and partner teams by increasing data availability and efficiency
• Ensure stakeholders trust the numbers they use to make decisions by improving data confidence and reliability

Requirements

• 8+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience

Qualifications

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets, or experience with software development lifecycle
• Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in any Bigdata architecture and experience in managing and troubleshooting networks
• Experience working directly with business stakeholders to translate between data and business needs

Skills

• Strategic thinking and long-term planning
• Data engineering and data modeling
• ETL/ELT processes and AWS technologies
• Business intelligence and analytics
• Technical leadership and team management

Benefits

Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.