• Design scalable, enterprise-ready data integration architectures using both third-party tools and custom frameworks. • Develop reusable libraries and integration components to support reliable data ingestion. • Implement monitoring and testing systems across the data lifecycle. • Lead the buildout of high-throughput pipelines supporting streaming and low-latency use cases. • Mentor junior engineers through code reviews and technical coaching. • Translate business and analytics requirements into data products by working closely with analysts, data scientists, and stakeholders. • Lead proofs-of-concept for emerging technologies.