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R2 Companies
11 – 50 Darbinieki
BūvniecībaKonsultācijasNekustamais īpašums
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Vakances uzņēmumā

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.

ARArgentīnaBRBrazīlijaCLČīleCOKolumbijaAttālinātiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuNepieciešamā Valoda: spāņuNepieciešamā Valoda: portugāļuDatu inženieris
AirflowAWSBigQueryMākonisPythonSQL

Apraksts

  • 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.
  • requirements_placeholder

Prasības

  • 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.

Priekšrocības

  • 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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