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CHI Software
Open role>14 days

Lead Data Engineer (LATAM)

CHI Software
Work model
Not specified
Experience
2+ years
Employment
Not specified
Compensation
Not disclosed
Technology signal
12 tags

Technology context

12

Parsed from the vacancy text; ordered by relevance to this role.

AIAWSAzurePythondbtSparkTerraformDatabricksCI/CDScalaSQLAirflow

Full listing

Role description

Key Responsibilities

  • Lead and mentor a team of data engineers delivering pipelines across AWS and Azure
  • Own technical design and implementation decisions for data pipeline architecture
  • Establish and enforce engineering best practices: code quality, testing, CI/CD, documentation
  • Plan and prioritize the team's roadmap in collaboration with architecture and business stakeholders
  • Troubleshoot and resolve complex data pipeline and platform issues
  • Drive adoption of orchestration, monitoring, and data-quality tooling
  • Partner with the Data Architect to keep delivered pipelines aligned with platform architecture

Requirements

  • 7+ years of data engineering experience, including 2+ years in a technical leadership role
  • Hands-on expertise with both AWS (Glue, EMR, Redshift, Lambda, Kinesis) and Azure (Data Factory, Synapse, Databricks)
  • Strong background in pipeline architecture, orchestration (Airflow/ADF), and CI/CD for data
  • Experience mentoring engineers and setting technical best practices across a team
  • Solid SQL and Python/Scala skills, with experience in distributed data processing (Spark)
  • Experience with data quality, testing, and monitoring frameworks
  • Strong communication and planning skills; comfortable working directly with stakeholders

Nice to Have

  • Experience with dbt or similar transformation frameworks
  • Familiarity with infrastructure-as-code (Terraform, CloudFormation, Bicep)
  • Prior experience in a consulting or client-facing delivery environment