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 deliver innovative and scalable data solutions.

In this role, you will lead technical teams, guide system architecture design, and contribute to projects that address complex data challenges. The ideal candidate will bring a strong technical background, leadership expertise, and a passion for mentoring and driving innovation.

Responsibilities

Lead the design and deployment of scalable and efficient data architectures
Build and maintain data pipelines and workflows to ensure data accuracy and availability
Collaborate with stakeholders to collect requirements and present data-driven solutions
Offer technical leadership and mentorship to engineering teams
Enhance system performance, scalability, and reliability
Establish technical best practices while ensuring high-quality code outputs
Perform code reviews and actively participate in technical discussions
Engage in pre-sales processes, client communications, and SWAT team initiatives
Encourage knowledge sharing and participate in technical meetups and talks
Keep up-to-date on emerging technologies and apply innovative approaches

Requirements

Degree in Engineering, Computer Science, or a related field
At least 7 years of experience in Data Engineering roles
Minimum of 2 years of leadership experience, covering team management and project direction
Background in completing at least 2 full-cycle projects or multiple phases of development lifecycles
Hands-on skills in coding while solving complex technical challenges
Proficiency in Python for data tasks, including processing, analysis, and automation
Deep knowledge of Amazon Web Services (AWS) for cloud-based data workflows
Background in using Databricks for big data analytics and machine learning activities
Expertise in system design and architecture, combining strategic vision with technical implementation
Track record of driving significant technical contributions across projects and teams
Broad competency in multiple technical domains and technology stacks
Mindset for mentoring and actively sharing knowledge within teams and communities
Understanding of innovation processes through adopting new tools, frameworks, or methodologies
Flexibility to adapt programming languages, technical stacks, and domains based on context
English communication skills at a B2 level or higher

Nice to have

Proficiency in real-time data processing and streaming technologies
Understanding of advanced machine learning and AI ecosystems
Familiarity with serverless computing solutions for optimizing data tasks

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