Kobalt continues to grow 3x faster than the market and, as such, continuously focuses on scaling out its systems, products and services to cope with the increasing demand. One of the key opportunities for Kobalt is to address the masses of songwriters who are reasonably early in their careers and, as such, struggle to get representation from strong publishers. As most publishers depend on primarily manual processes, the service cost usually outweighs the revenue potential that those songwriters would generate. Through technology, Kobalt aims to reduce the cost of service for each individual songwriter, making it viable to support large numbers of songwriters at a marginal cost. ##### Who is the Catalogue Management & Data Quality Team? The Catalogue Management & Data Quality team is focused on building and maintaining a scalable, automated and performant set of catalogue management tools for both Kobalt and amra. This includes tools for some core entities like songwriters, publishers, collecting societies, etc. Our primary goal is that business users have a suite of best in class tools to administer our catalogue and serve other teams across the organisation that require information about them. We sit at the very core of Kobalts domain and interact with almost every other team in the organisation. ##### Tech Stack - Backend: Java, Spring Boot, Kafka (Streams), Kubernetes, SQL - Cloud & DevOps: AWS, Terraform, CircleCI, GitHub, Docker, Datadog, Gradle - Databases: Postgres, Oracle, DynamoDB

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

We are seeking an experienced Senior Full-Stack Engineer (full-time) to join our !K7 Berlin office! If you share our passion for music and are looking to drive impactful changes in a small team setting, this is for you.

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