Data Engineer Manager

This is a fully remote position, open to applicants in Uruguay.

📋 Description

• Lead, guide, and nurture a team of Data Engineers dedicated to data and machine learning infrastructure.

• Define and implement technical strategies for scalable cloud-based MLOps.

• Establish the engineering framework necessary to support machine learning models throughout their lifecycle.

• Supervise data pipelines, ML infrastructure, deployment processes, monitoring, automation, and CI/CD.

• Collaborate with Data Science leadership to transition models efficiently from development to production.

• Establish engineering standards, best practices, and reusable patterns for ML and data engineering.

• Provide direction on architecture and technical decisions related to cloud data and ML infrastructure.

• Lay the technical groundwork for future agentic architecture and AI initiatives.

• Assess technical strategies and technologies based on scalability, reliability, maintainability, and delivery requirements.

• Balance immediate delivery needs with long-term platform and architectural investments.

• Offer technical mentorship and guidance to Senior Data Engineers.

• Work with Data Science and other technical teams to translate requirements into scalable engineering solutions.

• Clearly communicate technical decisions, risks, dependencies, and progress to stakeholders.

• Foster a culture of engineering excellence, ownership, collaboration, and continuous improvement.

⛳️ Requirements

• Extensive professional experience in Data Engineering.

• Strong hands-on experience with cloud MLOps.

• Proven track record of leading and mentoring Data Engineering teams.

• In-depth understanding of cloud data architecture and machine learning infrastructure.

• Experience in designing and implementing production-grade MLOps practices.

• Strong comprehension of model deployment, monitoring, versioning, automation, and ML lifecycle management.

• Experience in making technical and architectural decisions for data and ML platforms.

• Solid engineering fundamentals and the ability to engage in technical discussions with senior engineers.

• Excellent communication and stakeholder management skills.

• Ability to balance technical strategy with hands-on execution and team leadership.

• Professional experience with Google Cloud Platform (GCP) is preferred.

• Experience with agentic architectures or AI engineering is preferred.

• Experience assisting organizations in establishing the technical foundation for future AI initiatives is preferred.

• Experience working closely with Data Science teams to operationalize machine learning models is preferred.

• Experience in defining long-term data and ML platform strategies is preferred.

🏝️ Benefits

• Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.

• Access to AI learning paths.

• Customized study plans, courses, and additional certifications tailored to your role.

• Access to Udemy Business.

• English lessons.

• Career development plans and mentorship programs.

• Special rewards for birthdays, work anniversaries, and other personal milestones.

• Company-provided equipment.

• Flexible working arrangements.

• Additional benefits may vary depending on your location in LATAM.