• Drive high-priority projects from initial system design and technical scoping through to final release and post-launch optimization • Take a seat at the table during the earliest stages of product development to ensure technical feasibility, scalability, and long-term maintainability • Partner with Data Science teams to translate sophisticated theoretical models and algorithms into scalable, production-grade code • Architect and maintain systems to process, match, and store large datasets from diverse internal and third-party sources • Take responsibility for the entire lifecycle of your features—from robust unit and route testing to ensuring long-term data quality and accuracy • Integrate monitoring and observability tools to boost application performance and ensure system reliability • Analyze and design improvements to scale our infrastructure and data pipelines as our data footprint grows • Dissect business requirements and transform them into manageable, well-defined engineering tasks • Contribute to shared goals within a cross-functional Agile team, fostering a culture of technical excellence and psychological safety • Guide and sponsor other engineers, helping them navigate technical challenges and grow their careers through clear, supportive feedback.