Job Description
This role involves designing, building, and maintaining data pipelines to power various data use cases. This includes ingestion of raw data, building datasets and metrics, and turning ambiguous questions into well-scoped, high-impact data solutions.
The role requires developing intuitive, performant, and scalable data models to support product features, internal analytics, experimentation, and machine learning workloads. You will implement robust batch and streaming pipelines using Spark, Python, and Airflow.
You will also be defining and enforcing standards for accuracy, completeness, lineage, and dependency management, while also mentoring peers and helping shape the future of Patreon’s data.
About Patreon
Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences.