Staff Software Engineer, Data Engineering

Ripple
San Francisco, London
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 10+ yearsSkills: ["Technical leadership","Engineering judgment","Mentorship","Ability to influence","Stakeholder communication"]

Own the technical direction for Ripple’s Caspian Data Platform lakehouse, guiding ingestion, transformation, governance, and data quality across business units. Define Databricks pipeline patterns and ship production reference implementations, while setting data-quality and governance benchmarks and enforcing them through code review. Lead multi-quarter, cross-team initiatives and drive AI adoption in data engineering workflows (agentic pipeline ops, transformation generation, and self-serve analytics), while mentoring senior engineers and raising engineering standards.

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FursaFursa
Ripple
Ripple
2 days ago

Staff Software Engineer, Data Engineering

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Own the technical direction for Ripple’s Caspian Data Platform lakehouse, guiding ingestion, transformation, governance, and data quality across business units. Define Databricks pipeline patterns and ship production reference implementations, while setting data-quality and governance benchmarks and enforcing them through code review. Lead multi-quarter, cross-team initiatives and drive AI adoption in data engineering workflows (agentic pipeline ops, transformation generation, and self-serve analytics), while mentoring senior engineers and raising engineering standards.
Location: San Francisco, London
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Set the architecture for the Caspian Data Platform, owning ingestion, transformation, governance, and data quality across the lakehouse.
  • •Lead design of core platform pillars and build critical components hands-on.
  • •Define engineering patterns and reference architectures for Databricks pipelines; implement and prototype hard parts before scaling.
  • •Establish and enforce benchmarks for data quality and governance (data contracts, lineage, validation frameworks) through code review.
  • •Lead complex, ambiguous, multi-quarter initiatives and set the technical direction for applying AI across data engineering workflows.

Pay and Benefits

Perks:Learning BudgetRetirementParental LeaveMobile StipendWellness Stipend

Key Requirements

  • •10+ years of data engineering experience architecting and operating large-scale data platforms while staying hands-on.
  • •Deep mastery of Databricks (Delta Live Tables, Unity Catalog, Delta Lake, Spark) and ability to make platform-level decisions.
  • •Demonstrated ownership of ingestion, transformation, governance, and data quality for production platforms.
  • •Expertise in SQL and Python for complex data modeling, transformations, and platform tooling.
  • •Experience driving AI tooling into data engineering workflows, such as agentic systems, integrating LLMs, or enabling conversational analytics.
Experience:10+ years
Skills:Technical leadershipEngineering judgmentMentorshipAbility to influenceStakeholder communication
Languages:English
Tech Stack:DatabricksDelta Live TablesUnity CatalogDelta LakeSparkSQLPythonAWSLLMsAILakehouse

Company Brief

Ripple
Builds blockchain-based payment and liquidity infrastructure for financial institutions and enterprises. Its products support cross-border payments, crypto liquidity, and digital asset settlement.
Industry: Fintech Infrastructure
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: San Francisco, United States
Founded: 2012
WebsiteLinkedIn