Chief Data Engineer

Data Software Engineering

Location-specific conditions & benefits*

Argentina

We are seeking an experienced Chief Data Engineer to join our remote team and lead the delivery of innovative and scalable data solutions.

In this position, you will manage technical teams, oversee system architecture design, and contribute to impactful projects that address complex data challenges. The ideal candidate will bring a strong technical background, leadership experience, and a passion for innovation and mentorship.

Responsibilities

Lead the design and implementation of scalable, efficient data architectures
Build and maintain data pipelines and workflows to ensure quality and accessibility
Collaborate with stakeholders to define requirements and deliver data solutions
Provide mentorship and technical guidance to engineering teams
Optimize system performance, scalability, and reliability across projects
Define technical best practices and maintain high coding standards
Conduct code reviews and actively participate in technical discussions
Support client engagements, pre-sales efforts, and critical team initiatives
Share expertise through meetups, knowledge-sharing sessions, and technical talks
Stay informed about emerging technologies and integrate relevant solutions

Requirements

A degree in Engineering, Computer Science, or a related discipline
7+ years working as a Data Engineer
At least two years of leadership experience managing teams and projects
Participation in at least two full-cycle projects or multiple phases of development lifecycles
A history of hands-on problem-solving and technical contributions
Proficiency in Python for data processing, analysis, and automation
Knowledge of Amazon Web Services (AWS) for cloud-based solutions
Expertise in Databricks for big data analytics and machine learning workflows
Strong system design skills, balancing high-level vision with detailed implementation
A demonstrable track record of driving technical impact in projects
Competency in multiple technical domains and a broad cross-disciplinary background
A commitment to mentoring and knowledge-sharing within teams and communities
The ability to introduce and implement new tools, frameworks, or methodologies
Flexibility to adapt to varying programming languages, tech stacks, and development domains
Fluent English communication skills at a B2 level or higher

Nice to have

Familiarity with real-time data processing and streaming technologies
Knowledge of advanced machine learning and AI frameworks
Capability to utilize serverless computing solutions for data workflows

Benefits

International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn