The opportunity
Spotify is on an ambitious path to reach one billion users and $100 billion in revenue, and the Subscriptions User Understanding team plays a key role in making that possible.
What you'll do
Define and drive the long-term data engineering strategy for the: Subscriptions User Understanding domain, identifying opportunities that improve scalability, reliability, and business impact.
Design scalable batch and streaming data platforms that power analytics,: experimentation, machine learning, and subscriber experiences.
Partner with Product, Engineering, Data Science, Analytics, and Platform: teams to turn complex business challenges into durable, well-designed data solutions.
Lead architectural decisions and establish engineering best practices for: data quality, governance, observability, reliability, and operational excellence across multiple squads.
Design data models and platform architecture that support sustainable growth: toward one billion users while balancing performance, cost, and maintainability.
Simplify complex systems, reduce technical debt, and improve the developer: experience across the broader data ecosystem.
What they're looking for
- You enjoy solving broad, cross-cutting engineering challenges and bringing: teams together around a shared technical vision.
- You have extensive experience designing, building, and operating large-scale cloud-native data platforms.
- You have deep experience building reliable distributed data pipelines using: technologies such as Scio, BigQuery, Dataflow, GCS, SQL, Python, or similar cloud-native tools.
- You have a strong understanding of modern data modeling, metadata management,: governance, and data quality practices.
- You know how to balance immediate business needs with long-term architectural sustainability.
- You influence technical direction through strong communication, sound: judgment, and collaboration rather than formal authority alone.
- You communicate effectively with engineers, product managers, data: scientists, analysts, and senior leadership.
- You enjoy mentoring engineers and helping technical teams grow through: coaching, technical guidance, and thoughtful feedback.
