Spotify is looking to improve its data infrastructure and analytics capabilities to support internal and music industry-facing tools
Requirements
- 3+ years of relevant experience with distributed datastores, and backend services
- Proficient in Java and excited to learn Kubernetes, Terraform
- Understanding of data modeling, dimensional schemas, and analytical query patterns
- Experience building internal developer tools, libraries, or shared services that support large engineering organizations
- Familiar with OLAP databases or analytics warehouses (e.g., Druid, ClickHouse, Pinot, BigQuery, Snowflake)
- Experience with Druid is a strong plus
- Comfort with metrics-driven development and observability stacks (Prometheus, Grafana, similar)
Responsibilities
- Build, operate, and evolve data analytics platform that includes backend services as well as OLAP data store (Druid) for teams building analytics across Spotify
- Build internal tooling, libraries, and services that streamline integration patterns with our analytics platform
- Advocate for best practices in service design, data modeling, schema evolution, and contract testing to ensure long-term maintainability
- Work in an autonomous, mult-functional environment and collaborate with squads across Spotify to continuously iterate and deliver on new product objectives
- Diagnose, resolve, and prevent production issues
- Provide OLAP capabilities to build dynamic, reliable data visualizations
- Share responsibility with engineers in diagnosing, resolving, and preventing production issues
Other
- 3+ years of relevant experience
- Strong sense of ownership of service quality, SLOs, and operational excellence
- You are a good communicator and an empathetic, attentive listener with the capability to anticipate the needs of partners
- You are deeply curious, and enjoy exploring both technical and organizational problems and domains
- You are eager to learn new technologies and to expand your area of expertise
