Staff Data Engineer

About MoonPay MoonPay is for builders with something to prove. This isn't a "work on cool crypto stuff" company. It's a high-standards, high-velocity, high-accountability company building the operating system for value movement. If the internet moves information, we move value: crypto, stablecoins, tokenized assets, and whatever comes next. Four offerings make that real: fund, tokenize, trade, and spend. 30M+ customers and 500+ ecosystem partners run on us. Licensed in the U.S. Regulated across the UK, EU, Canada, and Australia. AI is the default operating mode here. It's woven into every role, and we expect you to use it daily. It handles the manual work so you can deliver on what actually matters. You'll thrive here if outcomes excite you more than process, if impact motivates you more than titles, and if you want hard problems, real ownership, and teammates who love winning, building, and doing it together. The bar is high. The pace is real. We're building for what's next, for humans and agents. Recent recognition: Forbes' America's Best Startup Employers 2026 . 2nd in Crypto Services on Fortune's inaugural Crypto 100 , The Sunday Times Best Places to Work two years running. Research has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learned, diversity cannot. ______________________________________________________________________________________________________ 1. About the Opportunity ✍️ This is a hands-on technical leadership role with the opportunity to shape the long-term direction of our data platform. You will lead the design and evolution of the systems that power analytics, product insights, integrations, and machine learning across MoonPay. Working across teams, you’ll solve complex challenges spanning architecture, reliability, scalability, governance, and cost efficiency within a regulated environment. We’re looking for an engineer who can move confidently between setting technical direction and contributing directly to implementation. Your impact will come from evolving and adding new capabilities to our platform, establishing shared engineering patterns, and helping teams make pragmatic decisions that support both immediate delivery and long-term growth. 2. What you will do As a Staff Data Engineer on our Data Platform team, you’ll provide technical leadership across the platform while remaining closely involved in design and delivery. Day-to-day, you will: Set and evolve the technical direction of our data platform across streaming, batch processing, warehousing, orchestration, governance, and machine learning enablement. Lead the design and delivery of complex, cross-team initiatives from early architectural decisions through to implementation Design and build core platform capabilities, from reliable real-time pipelines, shared tooling, reusable frameworks, and scalable data infrastructure for other teams Establish and champion golden paths that enable teams to build securely, consistently, and efficiently. Improve platform reliability, scalability, performance, and cost efficiency as data volumes and use cases grow. Partner with Security, Compliance, Product, and Engineering teams to ensure our systems meet operational and regulatory requirements. Identify systemic risks, reduce unnecessary complexity, and guide pragmatic, incremental improvements to the platform. Strengthen engineering standards across data modelling, pipeline design, observability, testing, deployment automation, and infrastructure as code. Influence technical priorities and planning by working closely with engineering managers, product managers, and senior technical leaders. Mentor senior engineers and raise technical capability through design reviews, code reviews, documentation, and hands-on collaboration. 💻 What y…