Data Tech Lead — Remote Platform & Mentorship

Remote; San Francisco (CA); Remoto; USD 140.000 - 190.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health insurance

Wellness stipend

Descrizione del lavoro

CI&T is seeking an experienced Data Tech Lead to guide Data Engineering teams in delivering scalable, high-quality data solutions for global clients. You will drive technical excellence, mentor engineers, and set strategies for modern data platforms across AWS, Azure, and GCP.

This role emphasizes hands-on leadership, data governance, and collaboration with clients and stakeholders to ensure robust, reliable outcomes in fast-paced environments. Remote work with international clients is supported.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Data Engineering

Databricks

Apache Spark

Python

Scala

Java

Data modeling

ETL/ELT pipelines

Formazione

Bachelor's degree

Strumenti

AWS

Azure

GCP

CI/CD

DevOps

Infrastructure as Code

Descrizione del lavoro

CI&T is seeking an experienced Data Tech Lead to guide Data Engineering teams in delivering scalable, high-quality data solutions for global clients. You will drive technical excellence, mentor engineers, and set strategies for modern data platforms across AWS, Azure, and GCP.

This role emphasizes hands-on leadership, data governance, and collaboration with clients and stakeholders to ensure robust, reliable outcomes in fast-paced environments. Remote work with international clients is supported.