Data Engineering Lead, Agentic Infrastructure

Overview

Redefine the future of live entertainment tech Welcome to vivenu, the global leader in event ticketing tech and one of the world’s fastest-growing live entertainment tech firms. We are transforming event ticketing for global leaders like the Grammys, the Golden Globes, Stanford University and the Hockenheimring turning what was once a simple transaction into a strategic business advantage. Backed

What you'll do

• Redefine the future of live entertainment tech Welcome to vivenu, the global leader in event ticketing tech and one of the world’s fastest-growing live entertainment tech firms.
• We are transforming event ticketing for global leaders like the Grammys, the Golden Globes, Stanford University and the Hockenheimring turning what was once a simple transaction into a strategic business advantage.
• Backed by over $65 million in funding, our platform empowers event organizers to own their brand experience, unlock deep data insights, and seamlessly integrate ticketing into their digital infrastructure.
• With six offices worldwide and growing, we deliver a customizable, intuitive solution and industry-leading support that simplify even the most complex ticketing challenges, helping organizers deliver exceptional experiences and drive real growth.
• Join us and build the future of live entertainment.
• With over 10 million end users and usage quadrupling annually, our infrastructure now handles over 1 billion requests per month, and counting.
• Our API-first platform solves complex system challenges at scale, delivering performance, flexibility, and reliability for the world’s leading live entertainment brands.
• As a Data Engineering Lead, Agentic Infrastructure, you will be the foundational technical leader of our data organization, guiding a dedicated pod of engineers in the future.
• You will act as the technical authority and central hub for all data initiatives across the company, ensuring a cohesive, secure, and scalable data strategy.
• By building this scalable technical foundation, you will pave the way for company-wide AI adoption.

Requirements

• Practical experience with Product & Development.
• Experience level: 8+ yrs.
• Strong written and verbal communication in English.
• Comfortable working remotely with distributed teams.

Skills