Join a dynamic team focused on optimizing music supply chain operations, from acquisition to monetization. This role offers a unique opportunity to architect and deliver resilient, scalable systems that power music businesses through innovative data solutions and integrations. If you're a motivated engineer eager to shape development direction and collaborate with top talent, this position is for you.

Embrace an agile and collaborative environment where teamwork and innovation are paramount. You will contribute to planning, distribution, and sales processes, focusing on seamless data streams and integrations. Partner with internal and external teams to build and maintain robust data integration capabilities, ensuring accuracy, scalability, and efficiency across the music supply chain.

This role is ideal for an engineer who thrives in a fast-paced environment and seeks to make a significant impact on product success and operational objectives.

Drive technical excellence by leading architectural design and implementing large-scale projects. You will troubleshoot critical bugs and mentor senior engineers, fostering collaboration across teams including Product Management, QA, and Design. Take ownership of development projects, setting architectural direction to ensure maintainability and scalability. Your decisions will significantly influence project outcomes and team success, driving innovation and strategic planning.

Contribute to the broad success of products and projects across multiple teams. Your achievements will be measured by the attainment of customer and operational objectives, making a material impact on business outcomes. Regularly champion innovation and technical strategy, shaping team culture and performance through both technical and interpersonal leadership.

A minimum of 5 years of software engineering experience, demonstrating a strong history of designing, developing, and deploying production-grade applications is essential. Proficiency in Python is required, along with hands-on experience in large-scale data processing using Apache Spark and various file formats. Advanced SQL knowledge, including data modeling and query optimization, is crucial.

Expertise in data platform technologies like Databricks and Snowflake, coupled with experience in orchestration frameworks such as Apache Airflow, is expected. A deep understanding of ETL/ELT pipeline design and data integration concepts is necessary. Familiarity with containerization, DevOps practices (GitLab, CI/CD, Docker, Kubernetes), and cloud environments, particularly AWS, is required.

Solid knowledge of data lakehouse and microservices architectures, experience with API integrations (RESTful, GraphQL), and familiarity with streaming frameworks like Kafka are vital. Proficiency in Linux environments and shell scripting is a plus. A strong grasp of object-oriented and functional programming, along with an understanding of data governance, security, and observability best practices, is required.

Excellent communication, collaboration, and problem-solving skills are necessary to work effectively across teams. Strong time management abilities to break down complex issues into actionable tasks are important. Experience in Agile environments, contributing to iterative development and continuous improvement, is preferred.

A Bachelor’s degree in a relevant field or equivalent work experience is beneficial. Preferred experience includes advanced AWS services, Kafka, Apache Airflow, Databricks, Snowflake, PostgreSQL, and serverless computing.