DATA Tech Lead, Brazil

CI&T; United States; Remote; USD 160,000 - 230,000; Full time

Job summary

CI&T is seeking a hands-on technical leader to guide multiple data engineering teams in delivering scalable, business-driven data platforms for enterprise clients. You will shape architecture, mentor engineers, and engage with stakeholders to translate requirements into data strategies.

You will work with Databricks and modern cloud data tooling, drive best practices, and ensure data quality, governance, and reliability across fast-paced projects in a remote, globally distributed environment.

Qualifications

• Advanced English (written and spoken).
• Bachelor's degree in computer science, data science, engineering, information technology, or a related field.
• Strong hands-on background in Data Engineering with Databricks and Apache Spark.
• Solid experience with at least one major cloud data platform: AWS, Azure, or GCP.
• Strong programming skills in Python, Scala, or Java.
• Experience with data modeling, ETL/ELT pipelines, and data warehousing concepts.
• Proven track record leading technical teams, mentoring engineers, and making architectural decisions in fast-paced environments.

Responsibilities

• Lead and support several data engineering squads, mentoring engineers on growth and technical craft.
• Design, review, and oversee scalable data solutions built on Databricks and cloud data platforms.
• Conduct code reviews, drive process optimization and automation, and stay current on trends.
• Validate technical deliverables against standards and client expectations with QA practices.
• Partner with stakeholders to translate requirements into data strategy and communicate across teams.

Skills

Databricks

Apache Spark

Python

Scala/Java

AWS

Azure

GCP

Data modeling

ETL/ELT pipelines

Leadership

Education

Bachelor's degree in CS/IT/related field

Tools

Databricks

Job description

Role overview

A hands-on technical leadership role guiding multiple data engineering teams that deliver scalable, business-driven data platforms for large enterprise clients. The position combines architecture oversight, mentoring, and stakeholder engagement, with a strong focus on modern cloud data tooling and engineering best practices.

Responsibilities

• Lead and support several data engineering squads, fostering a collaborative, high-performance culture and mentoring engineers on growth and technical craft
• Design, review, and oversee scalable data solutions built on Databricks and modern cloud data platforms, defining coding standards, architecture principles, and documentation guidelines
• Conduct code reviews, drive process optimization and automation, and stay current on trends in data engineering and analytics
• Validate technical deliverables against engineering standards and client expectations, and establish quality‑assurance practices focused on data integrity, reliability, and governance
• Partner with business and technical stakeholders to translate requirements into data strategy, acting as a trusted advisor and facilitating clear communication across teams

Requirements

• Advanced English (written and spoken)
• Bachelor's degree in computer science, data science, engineering, information technology, or a related field
• Strong hands‑on background in Data Engineering, including deep experience with Databricks and Apache Spark
• Solid experience with at least one major cloud data platform: AWS, Azure, or GCP
• Strong programming skills in Python, Scala, or Java
• Experience with data modeling, ETL/ELT pipelines, and data warehousing concepts
• Proven track record leading technical teams, mentoring engineers, and making architectural decisions in fast‑paced, multi‑priority environments

Nice to have

• Experience in consulting environments working with international clients
• Familiarity designing data governance and quality frameworks
• Knowledge of modern data architecture patterns such as Lakehouse
• Experience with CI/CD, DevOps, and infrastructure‑as‑code practices
• Relevant certifications in Databricks, cloud platforms, or data engineering

Benefits and work setup

• Remote role embedded in a globally distributed technology services organization working on large-scale, data‑driven transformation initiatives for global clients
• Opportunity to influence technical strategy, mentor teams, and build innovative solutions using modern data technologies in a collaborative, growth‑oriented environment