Data Engineer Manager

Lead design and scale data solutions to support Journey Analytics initiatives with a strong focus on code quality reusability and reliable data platforms. This role is responsible for setting the technical direction overseeing the evolution of data architectures and leading a team of data engineers to deliver high-quality performant datasets for analytics and reporting use cases.

The ideal candidate combines strong hands-on data engineering expertise with people leadership experience and has a proven track record of driving scalable solutions in cross-functional environments.

Responsibilities

• Lead and mentor a team of data engineers fostering best practices in coding architecture and data engineering standards.
• Define and drive the technical strategy for Journey Analytics data platforms ensuring scalability maintainability and performance.
• Oversee the maintenance optimization and automation of code repositories in GitHub ensuring high-quality and consistent development practices.
• Guide the refactoring of legacy codebases to improve maintainability scalability and reusability across multiple use cases.
• Drive the design and implementation of modular reusable data components to support multiple journeys and reduce duplication.
• Oversee the development and management of automated data pipelines in Databricks ensuring reliability and scalability for downstream consumption.
• Establish and enforce standards for scalable data modeling to support current and future analytics use cases.
• Ensure data quality governance performance and reliability across all data pipelines and datasets.
• Partner with analytics product and engineering stakeholders to align data solutions with business needs and priorities.
• Proactively identify risks bottlenecks and improvement opportunities and drive mitigation strategies at a team and platform level.
• Promote continuous improvement of data processes documentation and engineering practices.

Qualifications :

• 7 years of experience in Data Engineering.
• Strong experience working with GitHub repositories and version control workflows.
• Hands-on experience developing and maintaining data pipelines in Databricks.
• Proven experience refactoring and maintaining legacy codebases.
• Strong understanding of data modeling and reusable component design.
• Experience building scalable data models for analytics and reporting use cases.
• Strong focus on data quality performance and reliability.
• Ability to work in cross-functional environments and contribute to continuous improvement.
• Ability to work independently and take ownership of initiatives after receiving high-level direction driving tasks forward with minimal supervision.
• Experience using Genie (Databricks) (Plus).

Additional Information :

• Certifications in AWS (we are AWS Partners) Databricks and Snowflake.
• Access to AI learning paths to stay up to date with the latest technologies.
• Study plans courses and additional certifications tailored to your role.
• Access to Udemy Business offering thousands of courses to boost your technical and soft skills.
• English lessons to support your professional communication.
• Travel opportunities to attend industry conferences and meet clients.
• Career development plans and mentorship programs to help shape your path.
• Special day rewards to celebrate birthdays work anniversaries and other personal milestones.
• Company-provided equipment.
• Flexible working options to help you strike the right balance.
• Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location please consult with one of our recruiters.

Remote Work :

Yes

Employment Type :

Full-time