Ripple is hiring a

Web3 Director of Infrastructure

Ripple’s mission is to enable payments every way, everywhere for everyone. We believe connecting traditional financial entities like banks, payment providers and corporations with emerging blockchain technologies and users is the path to an open, decentralized, and more inclusive financial future. This Internet of Value gives any internet-enabled person, application or device access to financial services that are transparent, fast, reliable, and cheap. Delivering this vision is a challenge of massive scale spanning $155 trillion in annual cross border fiat payments and the $1.5 trillion market of digital assets that has grown 10X in the last year.

Data is the foundation of Ripple’s business, powering both strategic product decisions and products themselves. The Data Engineering team is responsible for providing data platforming and infrastructure solutions to scale the use of data company-wide. Ripple is looking for an experienced Director of Data Engineering to spearhead our Data Engineering efforts within the broader Data team. You will mentor, lead and grow a team of talented Data Engineers, and provide visionary thought leadership around how data platforming and tooling can drive the business forward.

WHAT YOU’LL DO:

• Manage and mentor a team of engineers responsible for designing, building and operating our growing data platform.
• Support our Data Science, Analytics and Machine Learning teams as well as externally-facing product applications.
• Mentor Data Engineers to improve and maintain data platforms, pipelines and tools to keep pace with the growth of our data and its consumers. This includes internal (employees) external (customer) stakeholders.
• Identify and analyze requirements and use cases from multiple internal teams (including Finance, Compliance, Data Science, Product, and Engineering) and work with other technical leads and product managers to design solutions for the requirements
• Mentor and guide the professional and technical development of your team members. Help develop their careers and assign them to projects tailored to their skill levels, personalities, work >
• Instill a spirit of continuous improvement in the team’s code, architecture, and processes

WHAT WE’RE LOOKING FOR:

• 10+ years of data platform and engineering experience
• 3+ years building and mentoring high-powered data engineering teams
• 5+ years working in Java and Python
• Exceptional communication skills, demonstrated through experience working with technical and non-technical teams
• Deep experience with distributed systems, distributed data stores, data pipelines and other tools in cloud services environments (e.g AWS, GCP)
• Extensive experience partnering with Data Analytics, Data Science and/or Machine Learning Teams to build data solutions for internal stakeholders
• Deep experience with Google Cloud Platform (GCP), and/or AWS data ecosystems
• Hands on experience with Kubeflow/MLFlow or other ML lifecycle management tools preferred
• Demonstrated success building scalable self-service data platforms
• Demonstrated success in building a platform for moving, storing and making data available for internal+external producers+consumers.
• Experience with real-time stream processing frameworks such as Apache Beam and Spark

Apply Now: