Data & AI Engineering Lead

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

📋 Description

• Oversee the technical implementation of the unified Data and AI Engineering team.

• Define and enhance the technical direction by assessing architecture options, reviewing designs and pull requests, and steering intricate implementation choices.

• Ensure that data-intensive systems comply with standards for data integrity, security, reliability, scalability, and maintainability.

• Identify and mitigate technical debt, recurring defects, architectural risks, and security vulnerabilities.

• Stay actively involved through code reviews, troubleshooting, technical design discussions, and direct contributions to engineering.

• Guide, mentor, and support engineers through constructive feedback, performance management, workload balancing, and professional growth.

• Evaluate team capacity, pinpoint overload risks, and reallocate work as necessary.

• Convert product and business priorities into technical workstreams, user stories, actionable tickets, and ownership assignments.

• Delegate engineering tasks based on expertise, workload, task complexity, and business significance.

• Ensure the effectiveness and quality of delivery, investigate recurrent QA issues, and implement preventive enhancements.

• Collaborate with AI specialists to clarify solution requirements, dependencies, and implementation risks.

• Support data engineering efforts related to processing, transformation, integration, consistency, and secure handling of customer information.

• Work alongside Product, Engineering leadership, and stakeholders to clarify priorities and convey technical trade-offs.

• Communicate delivery status, obstacles, incidents, changes, and technical risks effectively.

• Suggest scalable process enhancements.

• Foster accountability, critical thinking, collaboration, continuous learning, and a customer-focused engineering approach.

⛳️ Requirements

• 7–8 years of professional experience in Software Engineering, encompassing backend development, distributed systems, or data-intensive applications.

• 3 years of practical Data Engineering experience, including data pipelines, ETL/ELT processes, transformations, integrations, and data quality assurance.

• 2–3 years of experience in a technical leadership role such as Engineering Lead, Technical Lead, Engineering Manager, or a similar position.

• Proven experience managing or leading engineers, including mentoring, providing performance feedback, delegation, workload management, and professional development.

• Strong programming skills, preferably in Python, applied to backend development, data processing, or automation tasks.

• 4 years of experience working with SQL and relational databases, involving data modeling, database design, query optimization, and data integrity.

• Significant expertise in software architecture and system design, particularly with scalable backend services, system integrations, and data-intensive applications.

• Experience in leading comprehensive engineering delivery, including technical planning, backlog prioritization, task allocation, execution tracking, and quality assurance.

• In-depth understanding of software engineering best practices, including code reviews, automated testing, secure development, and technical debt management.

• Practical familiarity with AI/ML concepts and AI-driven applications.

• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

• Knowledge of Git, CI/CD pipelines, containerization, and contemporary development workflows.

• Experience in identifying and addressing risks concerning reliability, security, data integrity, scalability, and performance.

• Ability to balance hands-on technical work with architecture, people leadership, and delivery obligations.

• Experience collaborating with Product Management and cross-functional stakeholders.

• Strong analytical thinking, problem-solving, decision-making, and organizational capabilities.

• Advanced English proficiency (B2+/C1 level).

• Capacity to work independently, manage changing priorities, and take ownership of engineering outcomes.

• Must be located and legally eligible to work remotely from an approved country in Latin America.

• Willingness to maintain substantial overlap with U.S. Eastern Time business hours.

🏝️ Benefits

• Full-time employment.

• 100% remote work available within Latin America.

• Significant overlap with U.S. Eastern Time business hours.

• Support for professional development.

• A collaborative, inclusive, and innovation-driven workplace culture.