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Ripple is seeking a Staff Software Engineer for its Data Engineering team to lead the technical direction of the Caspian Data Platform, a centralized lakehouse powering analytics, financial reporting, product intelligence, and data-driven operations across the organization.
In this role, you will own the architecture and implementation of core platform pillars: data ingestion, transformation, governance, and data quality. You will remain deeply hands-on, designing and building the most critical components yourself while setting technical standards that guide the broader team. Key responsibilities include defining engineering patterns and reference architectures for Databricks pipelines, establishing data quality and governance benchmarks, leading complex multi-quarter initiatives spanning teams, and pioneering the application of AI and agentic systems to data engineering workflows.
You will act as the quality standard bearer, raising code quality and engineering rigor through code review and mentorship of senior engineers. This is a role for a technical leader who influences through credibility, translates complex tradeoffs for both engineers and leadership, and has a proven track record of architecting and operating data platforms at scale.
Required qualifications include 10+ years of data engineering experience with deep mastery of Databricks (Delta Live Tables, Unity Catalog, Delta Lake, Spark), expert-level SQL and Python skills, strong AWS experience, and a history of driving AI tooling into data engineering workflows. You should have demonstrated ownership of production platforms across ingestion, transformation, governance, and data quality, with the ability to set standards and patterns that elevate team performance.
