DATA ENGINEER MANAGER

<p>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.</p><p>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.</p><p><strong>Responsibilities</strong></p><ul><li><p>Lead and mentor a team of data engineers while actively contributing to development efforts and setting best practices in coding, architecture, and data engineering standards.</p></li><li><p>Define and drive the technical strategy for Journey Analytics data platforms, while remaining hands-on in the design and implementation of scalable solutions.</p></li><li><p>Actively contribute to the maintenance, optimization, and automation of code repositories in GitHub, ensuring high-quality and consistent development practices.</p></li><li><p>Participate directly in refactoring legacy codebases to improve maintainability, scalability, and reusability across multiple use cases.</p></li><li><p>Design and build modular, reusable data components to support multiple journeys and reduce duplication.</p></li><li><p>Develop and manage automated data pipelines in Databricks, ensuring reliability and scalability for downstream consumption.</p></li><li><p>Design and implement scalable data models to support current and future analytics use cases.</p></li><li><p>Ensure data quality, governance, performance, and reliability across all data pipelines and datasets through both oversight and direct contribution.</p></li><li><p>Collaborate closely with analytics, product, and engineering stakeholders to align data solutions with business needs and priorities.</p></li><li><p>Proactively identify risks, bottlenecks, and improvement opportunities, and take a hands-on role in driving mitigation strategies.</p></li><li><p>Promote continuous improvement of data processes, documentation, and engineering practices through both leadership and execution.</p></li></ul> <ul><li>7+ years of experience in Data Engineering.</li><li>Strong experience working with GitHub repositories and version control workflows.</li><li>Hands-on experience developing and maintaining data pipelines in Databricks.</li><li>Proven experience refactoring and maintaining legacy codebases.</li><li>Strong understanding of data modeling and reusable component design.</li><li>Experience building scalable data models for analytics and reporting use cases.</li><li>Strong focus on data quality, performance, and reliability.</li><li>Ability to work in cross-functional environments and contribute to continuous improvement.</li><li>Ability to work independently and take ownership of initiatives after receiving high-level direction, driving tasks forward with minimal supervision.</li><li>Experience using Genie (Databricks) (Plus).</li></ul> <ul><li>Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.</li><li>Access to AI learning paths to stay up to date with the latest technologies.</li><li>Study plans, courses, and additional certifications tailored to your role.</li><li>Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.</li><li>English lessons to support your professional communication.</li><li>Travel opportunities to attend industry conferences and meet clients.</li><li>Career development plans and mentorship programs to help shape your path.</li><li>Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.</li><li>Company-provided equipment.</li><li>Flexible working options to help you strike the right balance.</li><li>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.</li></ul>