Data Lead

Replace

Replace

Argentina · Remote

Posted on Jun 10, 2026
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Remote · Argentina

Data Lead

Type: Full-timeTeam: Data EngineeringReports to: CTO

We are looking for a Data Lead to take full ownership of our data engineering culture and practices. You will coordinate a team of 4 data engineers, collaborating directly with the CTO, while bridging data systems and the rest of the organization. You will inherit a solid foundation and make it more reliable, scalable, and better documented, while contributing to expanding our data products and participating in hiring decisions.

Key responsibilities

Team leadership

  • Coordinate day-to-day tasks and priorities for the 4-person data engineering team
  • Act as primary technical reference for all data-related decisions
  • Mentor junior and mid-level data engineers
  • Participate in hiring and technical interviews for data positions

Data infrastructure

  • Improve and evolve data pipelines covering ingestion, normalization, and storage
  • Identify and address bottlenecks in data capture and processing workflows
  • Design and enforce best practices for large structured and semi-structured data
  • Manage and optimize data infrastructure hosted on Azure
  • Work hands-on with Apache Airflow for pipeline orchestration

Quality and observability

  • Define and implement a data validation and QA strategy across pipelines
  • Build monitoring and alerting mechanisms to detect data issues early
  • Drive a culture of data reliability and proactive observability

Standards and products

  • Own technical documentation, coding guidelines, and architectural decisions
  • Collaborate with product and ops to translate data needs into requirements
  • Contribute to expanding our data products, datasets, and data APIs

What we offer

  • 100% remote from Argentina, with a team distributed across Argentina and Israel
  • 2 in-person team gatherings per year with team-building activities
  • Small, focused team where your impact is visible and your decisions matter
  • Direct collaboration with the CTO and real input into technical direction
  • Grow alongside a company at the intersection of technology and the energy transition

Required qualifications

  • 3+ years leading or technically coordinating data engineering teams
  • 3+ years of hands-on Python development in a data engineering context
  • Strong experience with PostgreSQL and relational data
  • Proven ability to handle large data volumes and design performant architectures
  • High proficiency in English in an English-first technical environment
  • Background in data quality, monitoring, or observability practices

Nice to have

  • Experience in the energy sector (utilities, renewables, ISOs/RTOs)
  • Familiarity with Apache Airflow
  • Experience working with Azure cloud services

Tech stack

Python
Primary development language
PostgreSQL
Relational data modeling
Apache Airflow
Pipeline orchestration
Azure
Cloud infrastructure
LLMs
Data extraction and normalization

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