• Lead the architecture, discovery, design, and implementation of complex data systems and pipelines across multiple domains. • Own and evolve shared data platforms, including event- and stream-based systems, as long-lived, reusable capabilities. • Drive strategic technical decisions around architecture, technology selection, and system design with a focus on reliability, cost, and operational sustainability. • Define and evolve shared data models, schemas, and contracts that enable consistent use of data across teams while respecting local autonomy. • Partner with product, platform, and engineering leaders to translate ambiguous business needs into clear technical direction and executable plans. • Establish standards and patterns for building, enriching, and consuming data streams and derived datasets. • Produce clear technical proposals and documentation that communicate system design, trade-offs, and long-term implications. • Represent the team in cross-functional planning, architecture reviews, and strategic initiatives. • Serve as an escalation point for complex technical challenges and high-impact incidents. • Mentor engineers at all levels and set expectations for technical excellence, design quality, and documentation.