• Design, build, and maintain data pipelines that ingest and process structured and unstructured data sources such as surveys, support tickets, call transcripts, and product usage data. • Develop and experiment with scalable data processing workflows that support downstream analytics, machine learning, and large language model (LLM) use cases. • Transform, validate, and model large, multi-dimensional customer behavior and usage datasets to ensure they are reliable, well-structured, and analytics-ready. • Partner with data scientists, analysts, and business stakeholders to enable clear understanding and effective use of data through well-defined datasets, documentation, and data quality standards. • Document data pipelines, schemas, and engineering best practices, and share learnings within the team to help promote a strong, data-driven culture at Dropbox. • Collaborate proactively with stakeholders across Customer Experience and Success to understand business needs, translate requirements into technical data solutions, and support accurate and timely data delivery.