Chief Data Engineer

Data Software Engineering

Location-specific conditions & benefits*

Argentina

We are searching for a seasoned Chief Data Engineer to join our remote team and lead the delivery of cutting-edge, scalable data solutions.

In this position, you will oversee technical teams, shape system architecture, and contribute to transformative projects that address intricate data challenges. The ideal candidate will combine a robust technical foundation, strong leadership acumen, and a demonstrated passion for mentorship and innovation.

Responsibilities

Lead the design and development of scalable and efficient data architectures
Build and maintain data pipelines and workflows to guarantee data quality and accessibility
Collaborate with stakeholders to define requirements and provide data-driven solutions
Offer technical guidance and mentorship to engineering teams
Optimize systems for performance, scalability, and reliability
Establish and uphold technical best practices to ensure code quality
Conduct code reviews and actively participate in technical discussions
Support pre-sales activities and client engagements while contributing to SWAT team efforts
Facilitate knowledge-sharing initiatives and participate in meetups and technical talks
Stay updated on emerging technologies and incorporate innovative solutions

Requirements

Degree in Engineering, Computer Science, or a related field
Minimum of 7 years as a Data Engineer
At least 2 years of leadership experience, including team management and project oversight
Participation in at least 2 full-cycle projects or various phases of development lifecycles
Hands-on experience in coding and solving challenging technical issues
Proficiency in Python for data processing, analysis, and automation
Expertise in Amazon Web Services (AWS) for cloud-based data solutions
Knowledge of Databricks for big data analytics and machine learning workflows
Skills in system design and architecture with the ability to balance strategy and execution
Demonstrated success in delivering major technical contributions in projects and organizations
Cross-disciplinary knowledge of multiple technical domains and technology stacks
Willingness to mentor and share expertise within teams and the broader community
Competency in adopting innovative tools, frameworks, or methodologies
Flexibility to adapt to various programming languages, technical stacks, and domains as required
Fluency in English at a B2 level or higher

Nice to have

Knowledge of real-time data processing and streaming technologies
Understanding of advanced machine learning and AI frameworks
Familiarity with 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