About the job
About Us
At Riskified, we empower businesses to unlock their ecommerce potential by mitigating risks. Our platform is trusted by some of the world’s leading brands and publicly traded companies to safeguard against chargebacks, combat fraud, and enhance customer loyalty. Our AI-driven fraud and risk intelligence solutions analyze interactions in real-time, offering robust identity insights that help our partners succeed in the competitive online landscape. We proudly collaborate with renowned companies across various industries, including Acer, Gucci, Lorna Jane, GoPro, and many more.
We cultivate a collaborative and dynamic work environment, where innovative ideas flourish and meaningful contributions are valued. Our commitment to teamwork and excellence drives us to make a lasting impact in the ecommerce space, making Riskified a workplace of choice.
About the Role
*** Please note that this position will be recruited, hired, and employed by a third party.
We are in search of a skilled and passionate Senior Data Platform Engineer to enhance and maintain our core data platform products, ensuring optimal performance, scalability, and stability. As a data-driven organization, we are committed to managing an increasing influx of data daily.
In this role, you will be a vital part of the Data Platform team, responsible for overseeing a large-scale production data platform that serves as the backbone of our products. You will develop self-service tools to enhance platform accessibility for users in our R&D and Analytics departments, and act as a knowledge hub, consulting and sharing your expertise with your colleagues.
What You’ll Be Doing
- Lead the development of AI-ready foundations for our data platform, focusing on data quality, contracts, observability, and self-service tools that empower machine learning and AI-driven initiatives.
- Manage, provision, and monitor various platform products.
- Enhance the application infrastructure tightly integrated with our Data Platform tools.
- Provide guidance to development teams and mentor fellow team members.
- Utilize your creativity to solve complex, high-scale data challenges.
- Research and evaluate new technologies, starting from POC to deployment.

