Overview

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

Role 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.

We Offer

• 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.