Data Engineering Tech Lead – LatAm Only

R2 Companies

. Serve as senior technical authority for R2’s data platform and day-to-day leader of the Data Engineering team .

Posted 10/12/2026full-timeRemote • Argentina, Brazil, Colombia, ChileSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in Data Engineering, with a strong focus on Snowflake architecture, data governance, and regulatory compliance. Proven ability to lead teams, manage projects, and implement data solutions across multiple jurisdictions.

Highest-signal resume keywords

Snowflake ArchitectureData GovernanceProject ManagementPython ExpertiseAirflow and dbt

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringSQLDimensional Data ModelingELT PatternsCost ManagementPerformance TuningData Residency ComplianceIncident ResponseMonitoring and AlertingData Quality Control

Soft Skills

Team LeadershipStakeholder CommunicationMentoringTechnical Trade-off ExplanationPerformance Management

Tools & Technologies

AirflowDbtAWSAirbyteFivetranData Catalog ToolsAI/ML ToolingSnowflake Role-based AccessData Pipeline MonitoringSelf-serve Analytics Platforms

Industry Keywords

GDPR ComplianceLGPD ComplianceFintechLendingCredit RiskUnderwriting DataData LineageData ContractingData Residency RulesRegulatory Reporting

Tech Stack

Tools & technologies

AirflowAWSBigQueryCloudPythonSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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