• Lead end-to-end design and implementation of large-scale data mining solutions that handle real-time data as well as batch mode ingestion, modeling, and inference • Shape long-term architectural direction, technology stack, and engineering best practices • Identify and mitigate technical risks, ensuring scalability, availability, and reliability across the platform • Mentor and guide engineers across teams, fostering strong engineering culture and technical excellence • Partner with peers in product management, operations and data science to translate ambiguous business requirements into actionable technical plans • Enjoy designing and architecting complex frameworks for applying ML techniques to large data volumes and simplifying labor-intensive processes • Recognize and prioritize between Customer deliverables & Tech debt to develop a sustainable software suite of products