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R2 Companies
R2 Companies
11 – 50 Employees
ConstructionConsultingReal Estate
R2 Companies is a real estate investment and development firm that identifies and pursues opportunities across multiple markets. With headquarters in Chicago, Minneapolis, and Milwaukee, the company focuses on the Midwest while supporting communities through leasing and property management services. Its work brings together real estate, construction, and consulting expertise across investment, development, and ongoing operations.
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Senior Data Engineering Tech Lead, Latin America

Lead R2’s data engineering team and own the architecture, reliability, governance, and delivery of its Snowflake-based platform. Support embedded finance across Latin America and Europe.

ARArgentinaBRBrazilCLChileCOColombiaRemoteFull-timeSeniorEnglish RequiredSpanish RequiredPortuguese RequiredData Engineer
AirflowAWSBigQueryCloudPythonSQL

Description

  • Lead R2’s data platform and the Data Engineering team, reporting to the Director of Data Management.
  • Own architecture, roadmap, tooling, vendor choices, reliability, and cost for systems supporting ingestion, processing, underwriting, and the enterprise data warehouse.
  • Set technical direction and standards while contributing as a hands-on lead engineer.
  • Plan, prioritize, and deliver the team’s work.
  • Manage Senior Data Engineers, including regular one-to-ones, performance, and career development.
  • Set the target architecture for ingestion, data cleaning and processing, the warehouse, Airflow orchestration, and underwriting data flows.
  • Define and maintain the Data Engineering technical roadmap.
  • Assess and select tools and vendors, and contribute to contract decisions.
  • Design a multi-country, multi-entity platform, including an isolated EU data platform and data residency rules.
  • Work hands-on with Snowflake, Airflow DAGs, dbt, and Python.
  • Own production pipeline reliability, observability, and service-level agreements.
  • Establish on-call coverage, incident response, and post-incident review practices.
  • Control Snowflake costs through warehouse sizing, usage monitoring, budgets, and optimization.
  • Set and uphold standards for data modeling, testing, CI/CD, documentation, and code review.
  • Adopt AI-enabled tools and agents where they improve productivity or data operations.
  • Manage data initiatives from scoping and estimates through planning, tracking, and stakeholder updates.
  • Develop Senior Data Engineers through design and code reviews and regular feedback.
  • Contribute to hiring, onboarding, and team structure.
  • Work with Analytics, Product, Risk and Credit, ML, Engineering, and Compliance.
  • Share responsibility for data governance, including 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 reporting, and investor and partner requirements.
  • Turn regulatory requirements into technical controls, audit evidence, and documentation.
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Requirements

  • Bring 8–12 or more years of experience in Data Engineering or a closely related field.
  • Have prior experience as a Principal or Staff Data Engineer, or as a Tech Lead for a team of at least four engineers.
  • Demonstrate team leadership and project management experience.
  • Have deep, hands-on production experience with Snowflake architecture, performance tuning, cost management, and role-based security; this is required.
  • Bring advanced production experience with Airflow and dbt.
  • Have a strong software engineering background and deep Python expertise.
  • Bring advanced SQL skills and experience with dimensional or analytical data modeling.
  • Have hands-on experience with ELT patterns and tools such as Airbyte or Fivetran.
  • Have experience operating data platforms on AWS.
  • Have experience building or operating data platforms across multiple countries, legal entities, or regulatory regimes; this is required.
  • Have practical experience applying GDPR or LGPD and implementing PII governance controls.
  • Have experience monitoring and alerting on production systems and responding to incidents.
  • Explain technical trade-offs clearly to leadership and Risk, Product, and Compliance partners.
  • Have professional English proficiency and Spanish or Portuguese proficiency.
  • Bring significant production Snowflake experience; Databricks- or BigQuery-centered experience without it will not meet the requirement.
  • Fintech, lending, credit risk, or underwriting data experience is a plus.
  • Experience establishing an EU or isolated regional data platform with strict data residency is a plus.
  • Experience with data catalog, lineage, or data contract tools is a plus.
  • Experience integrating AI/ML tools or agents into data workflows, or building ML feature pipelines, is a plus.
  • Experience designing self-service analytics platforms is a plus.
  • Experience managing cloud data costs at scale (FinOps) is a plus.

Benefits

  • Eligible team members may participate in R2’s Phantom Share Program, a performance-based incentive tied to the company’s long-term success and value creation.
  • Work in a mission-driven fintech environment on high-impact projects.
  • Take ownership and make a difference in a fast-growing startup.
  • Collaborate across functions with experienced teams.
  • Tackle complex regulatory challenges and help advance embedded finance.

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