• Design and build scalable data pipelines that ingest, process, and transform high-volume event streams and historical data • Develop and maintain APIs that deliver analytics, trend reports, and drill-down capabilities to internal teams and external customers • Build robust infrastructure for data quality monitoring, ensuring accuracy and completeness across customer and artifact datasets • Optimize data storage and query performance using systems like ClickHouse, Kafka, NATS, and PostgreSQL to support real-time and batch use cases • Implement usage tracking, auditing, and event processing systems that provide visibility into platform behavior • Create reliable data ingestion systems for security scan results, SBOM data, and artifact metadata • Build infrastructure for outbound integrations that deliver Socket data to customer systems • Collaborate with product, security research, and engineering teams to understand data needs and deliver solutions that scale