The Data Platform and Analytics team manages Kobalt Music’s data platform infrastructure as well as pipelines and services providing data extracts and analytics. These include ingesting and transforming disparate datasets, like artist metrics from streaming services, social networks, etc., played songs and related metadata, past royalties to create forecasts and so on; supporting multiple business units with data products and self-serve tooling. To improve our data products, we have started to work on a new self-serving data mesh with the aim of empowering data analysts with data discovery and quality control. Ultimately DPA offers a diverse range of opportunities to make a positive tangible benefit to the business and our clients. We are looking for a Tech Lead Data Platform Engineer to implement our new strategy for a Data Platform, focusing on shared infrastructure that will enable all teams to create, discover and consume data products easily. The role offers the opportunity to work on disparate aspects of the infrastructure: from access control and monitoring to cost allocation, from providing tools for data cataloguing and quality to templates and tools to speed up adoption and migration to the new platform for Data Engineers, Analysts and BI users. This is an exciting opportunity to work in the heart of music publishing, empowering innovation, enhancing business efficiency and catalysing revenue generation opportunities through the strategic use of data, AI, scalable tooling and self-service analytics. ##### Tech Stack - AWS: Athena, Glue, Step Functions, Lambda, RDS, S3, DMS, EMR, SageMaker - Terraform, CircleCI, Kubernetes, Docker - Spark, DBT, Jupyter Notebook - Python, Java, Scala, SQL ##### Recent Projects - Engaging with stakeholder to ideate and building out Kobalt’s Data Platform and Data Mesh - Large scale entity resolution service, attributing user consumption to our catalogue to maximise claims - Forecasting to estimate royalties across our catalogue - Detecting and tracking the performance of up and coming singer/songwriters

Kobalt’s founding vision is to make the music industry fairer and more rewarding for our creators. As a Senior Data Scientist at Kobalt, you’ll share this vision, working with stakeholders and engineers across the business to build production-grade ML solutions to ensure that our creators are fairly compensated. With access to vast quantities of data from music streaming platforms from across the world, you’ll work with other Data Scientists and engineers to solve problems within the music industry. Key use cases include our entity linkage service to optimise royalty collection, data-driven talent scouting, music revenue forecasting and anomaly detection. Founded in 2000 by Swedish entrepreneur Willard Ahdritz, the startup built a platform to maximize efficiency, accuracy, and transparency across the billions of micro-payments collected in today’s highly complex digital world. As the traditional music companies fought technology and contracted, Kobalt embraced it and grew, building an infrastructure and world-class creative team purposely designed to usher in the streaming era, along with a more fair, rewarding music business for creators. Our technology enables them to access royalty payments 4x faster while also maximising the royalty collection amounts. With over 400 employees in 12 offices around the world, Kobalt today represents over 31,000 artists and songwriters, 700,000 songs and 600 publishing companies. Kobalt is proud to work with artists, songwriters, and companies like Childish Gambino, Max Martin, Paul McCartney and MPL Communications, Disney Music Group, and many more.

You will play a critical role in analysing and responding to client audits. In this growing team you will gather data for fieldwork, and use your analytical skills to effectively support data-driven rebuttals to client audits. You will develop processes to allow Kobalt to respond to audit enquiries at a faster cadence, ensuring our clients are paid correctly. To be successful in this role, you will need a high level of organisational and prioritisation skills, as well as a proven ability to quickly adapt to new exciting challenges. You will turn complex royalty questions into clearly scoped analytical projects. You will be comfortable making sense out of very large datasets, and communicating complex concepts in a digestible format. In your day-to-day, you will take ownership of all analytics requests focused on client audits, communicate with auditors on various matters including commencement materials, fieldwork documents request, and audit reports.