Remote Data Tech Lead – Databricks & Cloud Data

Lever, Inc.; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Health and dental insurance

Meal and food allowance

Childcare assistance

Extended paternity leave

Wellhub (Gympass) TotalPass

Job summary

CI&T is seeking an experienced Data Tech Lead to guide Data Engineering teams in delivering scalable, high-quality data solutions. You will set technical strategy, mentor engineers, and ensure robust platforms that meet client goals across cloud environments.

You will collaborate with clients and stakeholders to define requirements, promote best practices, and drive engineering excellence in a fast-paced, remote-friendly setting.

Qualifications

• Advanced English communication skills (written and spoken).
• Bachelor's degree in Computer Science, Data Science, Engineering, Information Technology, or a related field.
• Strong experience in Data Engineering.
• Strong hands-on experience with Databricks.
• Solid experience with Apache Spark and cloud data platforms such as AWS, Azure, or GCP.
• Strong programming skills in Python, Scala, or Java.
• Experience with data modeling, ETL/ELT pipelines, and data warehousing concepts.
• Proven experience leading technical teams, mentoring engineers, and driving technical decisions.
• Strong analytical, problem-solving, and communication skills.
• Ability to manage multiple priorities in fast-paced and dynamic environments.

Responsibilities

• Lead and support multiple Data Engineering teams, fostering a collaborative, innovative, and high-performance environment.
• Provide technical mentorship and guidance to engineers, helping them grow their skills and capabilities.
• Promote engineering best practices, code quality, and continuous improvement across teams.
• Design, review, and oversee scalable data solutions using Databricks and modern cloud technologies.
• Define and enforce coding standards, architecture principles, and documentation guidelines.
• Conduct code reviews and provide technical feedback to ensure maintainability, performance, and reliability.
• Drive initiatives focused on process optimization, automation, and engineering excellence.
• Stay up to date with industry trends, emerging technologies, and best practices in Data Engineering and Analytics.
• Review and validate technical deliverables to ensure alignment with engineering standards and client expectations.
• Establish and improve quality assurance processes focused on data integrity, reliability, and governance.
• Support the implementation of scalable and sustainable data architecture practices.
• Partner with clients to understand business and technical requirements.
• Act as a trusted technical advisor, ensuring solutions align with client goals and standards.
• Facilitate communication between technical teams, stakeholders, and business partners to ensure successful project delivery.

Skills

Data Engineering

Databricks

Apache Spark

Cloud Platforms

Python/Scala/Java

ETL/ELT

Data Modeling

Team Leadership

English Communication

Education

Bachelor's degree in Computer Science/Data Science/Engineering/IT

Tools

Databricks

Cloud Platforms (AWS/Azure/GCP)

CI/CD/DevOps basics

Job description

CI&T is seeking an experienced Data Tech Lead to guide Data Engineering teams in delivering scalable, high-quality data solutions. You will set technical strategy, mentor engineers, and ensure robust platforms that meet client goals across cloud environments.

You will collaborate with clients and stakeholders to define requirements, promote best practices, and drive engineering excellence in a fast-paced, remote-friendly setting.