Remote Data Tech Lead - Databricks & Cloud Architect

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

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.