Data Engineering Tech Lead – LatAm Only

Job not on LinkedIn

🔥 1 hour ago

🌐 Argentina, Brazil, +2 more countries – Remote

🇦🇷 Argentina – Remote 🇧🇷 Brazil – Remote 🇨🇴 Colombia – Remote 🇨🇱 Chile – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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R2 Companies

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏗️ Construction

💼 Consulting

🏠 Real Estate

Construction • Consulting • Real Estate

R2 Companies is a real estate investment and development firm with a focus on identifying and capitalizing on opportunities across various markets. The company operates multiple headquarters in Chicago, Minneapolis, and Milwaukee, emphasizing their strategic reach and presence in the Midwest of the United States. They engage with the community through various leasing and management services and maintain active communication channels via social media and newsletters.

📋 Description

• 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

• 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

• 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