Role Overview
At Ripple, we’re building a world where value moves like information does today. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. GTreasury, now a Ripple solution, was acquired by Ripple in 2025, marking a significant expansion into the multi-trillion-dollar corporate finance arena. GTreasury has more than 40 years of experience supporting some of the world’s largest and most sophisticated companies. Integrating its treasury command center into Ripple’s technology stack gives corporates the ability to move, manage and optimize liquidity in real-time, across traditional and digital assets, under one expanded umbrella.
We are seeking an innovative and forward-thinking Staff Data Scientist and Engineer passionate about building a world-class platform through a world-class team, driving the technical direction, the evolution of the team, and engineering excellence.
What You’ll Do:
- Technical Leader for the Platform Data team to build a robust, scalable, and resilient data platform serving all portfolio applications.
- Collaborate with solution teams, product managers, and deliver robust cloud-based Data platform and solutions.
- Make decisions on the solution and the design, architecture, and delivery of systems.
- Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and evaluating technical design & code.
- Actively coach and mentor your team and grow them in their skills.
- Drive agile development and analytical methodologies every day.
- Strive to continuously improve the operations, processes, methodologies, technology choices, and practices of the team.
- Interact with your team, customers, and peers to share information and improve cross-department processes.
- Strive for transparency and partnership between our engineers and our business partners.
- Engage in concept discussions and proposed technology solutions to meet business objectives and influence such decisions.
- Work with multi-functional project teams on solution architecture options for design.
- Ensure all work meets quality, operational, and architectural standards needed for organizational success.
- Participate in the team’s YBIYRI model (you-build-it-you-run-it), which includes participating in their on-call pager rotation.
Who You Are:
- Leadership acumen, first and foremost.
- Strong aptitude with software development lifecycle and engineering excellence processes, Agile methodologies, and the ability to project manage moderately sized projects.
- Deep data engineering experience in complex distributed systems.
- Strong technical acumen which allows you to be responsible for the technical domain.
- Hands-on approach and ready to deep dive into code details with the team.
- Strong communication, coordination and influencing skills.
- Expert in automation with ETL process, data movement with data medallion architecture.
- Deep knowledge and experience with languages/frameworks/tooling (Databricks, SQL, Python, PowerShell, C#/.NET, SQL Server, PostgreSQL, Data Lake/Lakehouse, Qlik, Zoho Analytics, Azure PaaS services).
- Expertise with Izenda, SSRS and AWS Data Services a bonus.