Responsibilities:

• Lead, mentor, and grow high-performing data teams.
• Define and maintain a forward-looking data roadmap aligned with the company AI and product strategy.
• Build and maintain work plans that balance tech debt reduction, legacy migrations, alongside next gen. product deliveries.
• Act as the central sync point between the Data teams and key stakeholders: Product, CSMs, UI/UX, R&D, Algorithm, System, and Infra.
• Identify, prioritize, and resolve cross-team dependencies and roadblocks with a proactive, solution-oriented mindset.
• Own and evolve the data platform architecture, including modeling, pipes and services.
• Drive the modernization of the stack: enable Gen AI, serverless architectures, and scalable lakehouse and data processing patterns.
• Overlook best practices put forward by the team: design patterns, code reviews, CI/CD, tests, infras management (e.g. aws cdk), APIs to other R&D teams.

Requirements

• 6+ years of data engineering experience
• 2+ years of experience in leading data teams
• Proven track record in managing cross-functional dependencies, roadmaps, and planning.
• Deep understanding of big data architectures, modeling and processing design patterns.
• Experience with cloud-native (e.g., AWS) infrastructures.
• Experience modernizing legacy data systems.
• Familiarity with OSS Lakehouse architectures (Delta/Iceberg).
• Familiarity with event-driven systems.