What You'll Do
Develop and manage batch and streaming data pipelines that power a rights management system used to identify, track, and enforce music licensing across a vast content library. Build core datasets that support content segmentation, rights metadata integration, and match detection, ensuring accurate and timely data delivery.
Create analytics models that convert raw system and service data into actionable insights, supporting reporting on platform reliability, rightsholder engagement, and business impact. Work closely with product, engineering, and insights teams to define key metrics, build dashboards, and guide product evolution.
Ensure seamless data flow between backend services and the data warehouse by maintaining export pipelines and implementing robust monitoring. Help shape technical direction for licensing and financial systems, contributing to solutions that scale with platform growth.
Requirements
- Proficiency in SQL and experience with data modeling and warehouse architecture
- Proven background in building and managing large-scale batch pipelines using frameworks such as Spark, Apache Beam, or Scio
- Familiarity with cloud data platforms like BigQuery or Snowflake
- Hands-on experience with analytics engineering tools such as dbt and layered data transformation workflows
- Experience with orchestration systems like Airflow or Flyte
- Ability to write production-grade code in Python, Scala, or Java
- Track record of implementing data quality checks, alerts, and monitoring for pipeline stability
- End-to-end ownership of data solutions, from requirement gathering to deployment and validation
- Clear communication skills across technical and non-technical audiences
- Curiosity for complex domains like content rights, licensing, and multi-region compliance
Benefits
- Comprehensive health insurance coverage
- 23 paid days off annually
- Six-month paid parental leave
- Flexible paid holidays and sick leave
- Monthly meal allowance
- 401(k) retirement plan with company matching
