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 oversee the delivery of cutting-edge and scalable data solutions.

In this role, you will guide technical teams, design system architectures, and contribute to transformative projects that resolve complex data challenges. The ideal candidate will possess solid technical expertise, strong leadership abilities, and a commitment to coaching and driving innovation.

Responsibilities

Take responsibility for the design and implementation of scalable and efficient data architectures
Maintain data pipelines and workflows to ensure high standards of data quality and accessibility
Collaborate with stakeholders to define requirements and deliver data-centric solutions
Offer technical guidance and professional development support to engineering teams
Ensure optimal system performance, scalability, and reliability
Establish technical best practices and ensure the delivery of high-quality code
Participate actively in code reviews and technical discussions
Engage in pre-sales activities, client interactions, and cross-functional team initiatives
Promote knowledge sharing by contributing to meetups and technical presentations
Remain updated on emerging technologies and integrate innovative solutions

Requirements

Degree in Engineering, Computer Science, or an equivalent field
At least 7 years of experience as a Data Engineer
Minimum of 2 years of leadership experience, including team oversight and project direction
Participation in at least 2 full-cycle projects or multiple phases of development lifecycles
Proven background in coding and resolving complex technical challenges
Proficiency in Python for data processing, analysis, and automation
Expertise in Amazon Web Services (AWS) for cloud-based data solutions
Skills in Databricks for big data analytics and machine learning workflows
Competency in system design and architecture, balancing strategic vision with implementation details
Track record of achieving significant technical impacts in projects and organizations
Understanding of multiple technical domains and stacks across disciplines
Capability to mentor and share knowledge within teams and the larger community
Proven ability to innovate via adoption of tools, frameworks, or methodologies
Flexibility to adapt to multiple programming languages, tech stacks, and domains
Fluent communication skills in English at a B2 level or higher

Nice to have

Proficiency in real-time data processing and familiarity with streaming technologies
Background in advanced machine learning and AI frameworks
Understanding of serverless computing solutions for optimizing 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