Note: The job is a remote job and is open to candidates in USA. Patreon is a media and community platform that helps creators build businesses and connect with their fans. The Staff Software Engineer, Data Infrastructure will architect, build, and operate large-scale batch and streaming data platforms supporting product features, analytics, experimentation, and machine learning. The role will also develop self-service data tooling, drive infrastructure architecture, improve observability, and mentor engineers.
Responsibilities
- Architect, build, and operate large scale batch and streaming platforms that directly power Patreon product features, analytics, and experimentation
- Stand up and scale event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time data ingestion, transformation, aggregation, and delivery to different data storage systems
- Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate pipelines with minimal friction
- Partner with the broader Infrastructure, Platform, and product engineering to drive architectural decisions across storage, compute, deployment, and orchestration to align the data ecosystem with Patreon’s roadmap
- Build the tooling, monitoring, and observability that gives engineers confidence in the data platform's reliability and performance
- Mentor other engineers on infrastructure and streaming best practices, and help shape the long-term data infrastructure roadmap
Skills
- 8+ years of software engineering experience, including 4+ years focused on data or platform infrastructure
- Deep, hands-on experience architecting both batch (Airflow, Dagster, or similar) and stream processing systems at scale (Spark, Flink, Kafka Streams, or similar)
- Familiarity with data quality, lineage, observability, and governance tooling
- Strong programming skills in Python (Java, Scala, or Go a plus) and SQL
- Familiarity with cloud infrastructure and broad fluency across data stores: Object storage (S3), RDMS (MySQL, or Postgres, etc.), Key value (DynamoDB), OLAP (Clickhouse, Pinot, or Druid, etc.), search/indexing (Elasticsearch) plus data flow patterns for keeping them in sync with source systems
- Excellent collaboration and communication skills; comfortable driving cross-functional infrastructure decisions
- Bachelor's degree in Computer Science, Computer Engineering, or a related field, or the equivalent
- Experience with Delta Lake/Iceberg, AWS, or Databricks
- Contributed to open-source streaming or infrastructure tooling
- Experience supporting ML/AI workflows, training pipelines, or evaluation systems
Benefits
- Equity plans
- Healthcare
- Flexible time off
- Company holidays
- Recharge days
- Commuter benefits
- Lifestyle stipends
- Learning and development stipends
- Patronage
- Parental leave
- 401k plan with matching
- This role is remote, with optional in-person attendance in either the New York or San Francisco office.
- Candidates hired into remote-eligible roles are not expected to meet the same requirements as employees based in office locations.
Company Overview
Company H1B Sponsorship