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Senior Tech Lead - Data Platform Initiative
BRA
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Tech Lead – Data Platform (Data Platform Initiative)


Why Join Us

  • Competitive salary in USD
  • 100% remote work (LATAM)
  • Opportunity to work on international projects
  • Fast-paced, collaborative, and high-impact environment 


About the Role

We are looking for a hands-on Tech Lead to join a high-impact international project focused on building a large-scale data platform. This initiative involves processing and analyzing millions of transactions, requiring strong technical leadership and a solid data engineering mindset.


You will lead a squad of engineers in a consulting environment, working closely with global stakeholders to design, build, and scale robust data solutions.


What You’ll Do

  • Lead and mentor a team of engineers, ensuring high-quality delivery
  • Design and oversee scalable data processing solutions and pipelines
  • Collaborate with stakeholders to translate business needs into technical solutions
  • Drive best practices in software engineering, testing, and code quality
  • Contribute hands-on with Python development when needed
  • Support architectural decisions around tools like Snowflake, Azure, and data frameworks
  • Ensure performance and reliability when processing large-scale datasets


What We’re Looking For

  • 6+ years of experience in software engineering, with strong Python expertise
  • Proven experience as a Tech Lead or Senior Engineer leading projects/teams
  • Strong background in data processing, data pipelines, or data engineering
  • Experience handling large volumes of data (batch processing, ETL, etc.)
  • Solid understanding of software architecture and system design
  • Strong experience with unit testing and code quality practices
  • Excellent communication skills and advanced English
  • Experience working in collaborative, distributed teams


Nice to Have

  • Experience with Snowflake, Databricks, or similar data platforms
  • Familiarity with Azure (especially containers or data services)
  • Background in financial systems or high-complexity data environments
  • Previous experience in consulting or client-facing roles


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