Data Engineering Manager - Indaiatuba/sp

John Deere John Deere · Industrial · Indaiatuba, SP, Brazil · Technology (CA)

Manage data engineering teams, focusing on building and operating data pipelines and data lakes on cloud platforms. The role involves technical and people leadership, fostering Agile/DevOps culture, and ensuring data quality and reliability.

What you'd actually do

  1. Serve as a servant leader for 2–3 agile scrum teams, solving complex analytical and conceptual problems;
  2. Partner with the Group Engineering Manager and Group Product Manager to deliver against vision, strategy, and roadmap;
  3. Collaborate with Architects on technology selection, solution design, and alignment to enterprise standards;
  4. Foster a strong Agile and DevOps culture, monitoring product health, reliability, technical debt, and delivery metrics;
  5. Identify and remove technical and organizational impediments impacting teams’ execution;

Skills

Required

  • Bachelor's degree in Computer Science, Computer Engineering, MIS, or equivalent
  • Advanced English
  • Strong software engineering background with experience in modern data and cloud platforms, including API, Databricks, Java and/or Python, and AWS
  • Hands-on experience designing and operating data pipelines and enterprise data lakes
  • Proven ability to provide technical leadership across multiple teams and complex systems
  • Working knowledge of CI/CD pipelines, automation, and DevOps practices
  • Working knowledge of test-driven development, data quality validation, and test automation
  • Demonstrated experience hiring, developing, and leading engineering teams
  • Strong written and verbal communication skills with the ability to influence across functions
  • Deep understanding of Agile development methodologies and delivery at scale
  • Prior experience leading software or data engineering teams

Nice to have

  • Leadership experience in a product-aligned, Agile organization
  • Deep hands-on experience with Databricks and Spark performance optimization
  • Experience building or operating data products, data hubs or data platforms
  • Strong understanding of cloud cost management and performance optimization
  • Exposure to agentic workflows, knowledge graphs, data governance, metadata, or data quality platforms
  • Experience supporting advanced Risk analytics use cases

What the JD emphasized

  • Advanced English
  • Strong software engineering background
  • Hands-on experience designing and operating data pipelines and enterprise data lakes
  • Proven ability to provide technical leadership across multiple teams and complex systems
  • Working knowledge of CI/CD pipelines, automation, and DevOps practices
  • Working knowledge of test-driven development, data quality validation, and test automation
  • Demonstrated experience hiring, developing, and leading engineering teams
  • Deep understanding of Agile development methodologies and delivery at scale
  • Prior experience leading software or data engineering teams