You will have the opportunity to: Work with a cross-functional team, collaborating with partners across product, engineering, operations, and business, and closely partner with stakeholders to translate requirements into scalable engineering solutions Help drive architectural vision to support future growth and opportunities Design, build, and maintain data pipelines and datasets that power key product features and insights, while protecting user privacy Own data quality, scalability, and SLAs for assigned datasets and pipelines Champion technical excellence and cultivate team spirit by contributing to best practices, documentation, shared tools, and solutions to common problems Bachelor's or Master's degree in Computer Science, Statistics, a related quantitative field, or equivalent practical experience 6+ years of experience building production systems using Java and/or Scala, with strong proficiency in Java and/or Scala for large-scale distributed data processing and familiarity with functional programming paradigms. Proven track record of designing, launching, and scaling production-quality data pipelines that power product features Strong data intuition, backed by solid SQL and data analysis skills Experience with GDPR compliance and best practices for collecting, processing, and sharing data responsibly Excellent collaboration and communication skills, with the ability to listen, influence, and drive solutions cohesively.