Staff Software Engineer, Data Systems

Familiarity with event-driven architectures (CDC and streaming). Strong technical leadership and communication skills. 8+ years of professional software engineering experience. 5+ years focused on data systems (databases, pipelines, infrastructure). Experience with very large-scale datasets. Strong SQL skills and experience designing schemas and optimizing queries. Proficiency in Python and PySpark. Understanding of data quality, governance, and compliance principles. Experience scaling production datastores and managing data migrations. Familiarity with AWS data infrastructure (RDS, S3, Kinesis, Redshift), cloud-native scaling, and infrastructure as code.

Build a cloud-native big data platform for audience data. Lead the data systems team and scale petabyte data stores. Drive the stack across the entire data pipeline. Design and build high-volume async event handling systems. Extend Hive's query systems for reliable execution. Bridge the gap between marketing and data/ML platforms.