YOUR NEXT CHAPTER
Data Engineering Tech Lead – LatAm Only
About the role
• Serve as senior technical authority for R2’s data platform and day-to-day leader of the Data Engineering team
• Report to the Director of Data Management
• Own architecture, technical roadmap, tooling and vendor decisions, reliability and cost for the platform supporting ingestion, data processing, underwriting and the enterprise data warehouse
• Lead technical direction and standards as a hands-on lead engineer
• Own team planning, prioritization and delivery
• Progressively manage Senior Data Engineers, including 1:1s, performance and career development
• Own target architecture for ingestion, cleaning, processing, warehouse, Airflow orchestration and underwriting data flows
• Define and own the Data Engineering technical roadmap
• Evaluate and select tools and vendors, and provide contract input
• Design a multi-country, multi-entity platform, including a fully isolated EU data platform and data residency rules
• Stay hands-on with Snowflake, Airflow DAGs, dbt and Python
• Own production pipeline reliability, observability and SLAs
• Design on-call rotation, incident response and post-mortem practices
• Manage Snowflake spend through warehouse sizing, usage monitoring, budgets and cost optimization
• Define and enforce standards for modeling, testing, CI/CD, documentation and code review
• Introduce AI-enabled tooling and agents where they improve productivity or data operations
• Project-manage data initiatives end to end, including scope, estimates, plans, tracking and stakeholder communication
• Mentor and grow Senior Data Engineers through design reviews, code reviews and regular feedback
• Participate in hiring, onboarding and team-structure development
• Partner with Analytics, Product, Risk and Credit, ML, Engineering and Compliance
• Co-own data governance covering data quality, lineage, cataloging and access control
• Design PII classification, masking, encryption, Snowflake role-based access, retention and deletion
• Ensure regulatory and audit compliance, including GDPR, LGPD, central bank and local regulatory reporting, and investor and partner requirements
• Translate regulatory requirements into technical controls, audit evidence and documentation
• 8–12+ years in Data Engineering or closely related roles
• Prior experience as a Principal or Staff Data Engineer, or as Tech Lead of a team of 4 or more engineers
• Proven team leadership and project management experience
• Deep, hands-on production experience with Snowflake, including architecture, performance tuning, cost management and role-based security; required
• Advanced production experience with Airflow and dbt
• Strong software engineering background with deep Python expertise
• Advanced SQL and dimensional / analytical data modeling
• Hands-on experience with ELT patterns and tools such as Airbyte or Fivetran
• Experience running data platforms on AWS
• Experience building or operating data platforms across multiple countries, legal entities or regulatory regimes; required
• Practical experience applying GDPR or LGPD and building governance controls for PII
• Experience with monitoring, alerting and incident response for production systems
• Ability to explain technical trade-offs clearly to leadership and Risk, Product and Compliance partners
• Professional English, plus Spanish or Portuguese
• Snowflake is a hard requirement; Databricks- or BigQuery-centered profiles without significant production Snowflake experience will not fit
• Bonus: experience in fintech, lending, credit risk or underwriting data
• Bonus: experience standing up an EU or isolated regional data platform with strict data residency
• Bonus: experience with data catalog, lineage or data contract tooling
• Bonus: experience integrating AI/ML tooling or agents into data workflows or building ML feature pipelines
• Bonus: experience designing self-serve analytics platforms
• Bonus: experience with cloud data cost management (FinOps) at scale
• Eligible team members may participate in R2’s Phantom Share Program, a performance-based incentive aligned with the company’s long-term success and value creation
• High-impact, mission-driven fintech environment
• Ownership and impact in a fast-paced, growth-oriented startup
• Cross-functional collaboration with exceptional teams
• Exposure to complex regulatory challenges and innovation in embedded finance