The ideal candidate combines strong technical expertise in distributed systems and data technologies with proven leadership capabilities, strategic thinking, and the ability to lead complex initiatives end-to-end — from initial design and planning through implementation, deployment, and production ownership. Key Responsibilities Lead, mentor, and develop a team of Data Infrastructure engineers, fostering a culture of ownership, collaboration, and continuous improvement Define and execute the technical roadmap for the organization’s data infrastructure platform Oversee the architecture, scalability, reliability, and performance of large-scale data systems and pipelines Define and drive data quality standards, monitoring, and validation processes to ensure trust and reliability across the data platform Partner with engineering and product teams to enable scalable data foundations for analytics, machine learning, and AI-driven initiatives Lead cross-functional technical initiatives end-to-end, including requirements gathering, architecture design, implementation, deployment, and post-production ownership Partner closely with cross-functional teams including Data Engineering, Analytics, Backend Engineering, DevOps, and Product Management Drive operational excellence through monitoring, observability, automation, and incident management best practices Ensure high availability and stability of critical production systems Lead technical design discussions, architecture reviews, and engineering planning processes Establish and promote engineering standards, development best practices, and quality assurance processes Manage project prioritization, resource allocation, and timely delivery of strategic initiatives Support recruitment, onboarding, performance management, and career development of team members Evaluate emerging technologies and recommend improvements to the data platform ecosystem Required Qualifications Bachelor’s degree in Computer Science,
