The opportunity
Every dataset at Spotify, from the data behind creator royalties to the signals powering recommendations, is registered, published and traced through systems our team builds. We're the source of truth for what data exists at Spotify, where it lives, who owns it, and how it flows from one pipeline to the next.
What you'll do
Build and Evolve Core Services: Design, build and operate the backend services and APIs behind our data catalog, lineage and publishing systems, and evolve them as the platform adopts new storage technologies and new kinds of data. Hold them to a high bar for correctness, performance and reliability.
Build Data Pipelines: Develop and run the batch and streaming pipelines that keep our metadata current, processing platform events and audit logs to capture how data is created and changed, and turning lineage and metadata into data products other teams build on.
Own Projects End to End: Turn what the teams using our platform need into technical designs, drive them through delivery and rollout, and own the results once they're in production.
Keep the Platform Healthy: Take part in on-call for critical services, build in observability and quality checks by default, and use automation, including AI tooling, to reduce toil for the team and our users.
What they're looking for
- You have solid experience building and running backend services and APIs in: production with Java, and you care about API design, versioning and backward compatibility.
- You're comfortable with SQL and have worked with data pipelines or a cloud: data warehouse such as BigQuery, Snowflake or Databricks. Hands-on experience with batch or streaming frameworks like Beam, Flink or Spark is a plus.
- You have a working understanding of data engineering concepts such as: orchestration, metadata management, data quality, governance and lineage.
- You break problems down into clear, shippable steps, reasoning through: tradeoffs and risks and converging on clear recommendations.
- You own the quality of what you ship, including code written with AI: assistance, and you care about operating it well after launch.
- You are a strong communicator and collaborator who enjoys working across: teams, and you're comfortable in a dynamic platform environment where many engineers depend on what you build and priorities evolve with the business.
