Spotify is looking to improve its data infrastructure to help teams build analytics for internal and music industry facing tools, and to raise the reliability of data infrastructure across different verticals within the company.
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
- 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
- Strong sense of ownership of service quality, SLOs, and operational excellence.
- Ability to work in an autonomous, mult-functional environment
