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Chief Data Engineer

Remote in Colombia,
& 6 others
Data Software Engineering
& 4 others

We are seeking an experienced Chief Data Engineer to join our remote team and deliver innovative, scalable data solutions.

In this role, you will lead technical teams, design system architectures, and work on projects that address complex data challenges. The ideal candidate will have robust technical expertise, strong leadership abilities, and a passion for mentoring and driving innovation.

Responsibilities
  • Lead the design and implementation of scalable and efficient data architectures
  • Develop data pipelines and workflows to ensure data quality and accessibility
  • Collaborate with stakeholders to gather requirements and deliver impactful solutions
  • Provide mentorship and technical guidance to engineering teams
  • Optimize system performance, scalability, and reliability
  • Drive best practices to ensure high-quality code delivery
  • Conduct code reviews and participate in technical discussions
  • Support client engagements, pre-sales activities, and SWAT team initiatives
  • Promote knowledge sharing through meetups and technical talks
  • Monitor emerging technologies and introduce innovative solutions
Requirements
  • Degree in Engineering, Computer Science, or a related field
  • 7+ years of experience as a Data Engineer
  • At least two years of experience in leadership roles, including team management and project direction
  • Experience contributing to two or more full-cycle projects or multiple phases of development lifecycles
  • Hands-on expertise in coding and solving complex technical challenges
  • Proficiency in Python for data processing, automation, and analysis
  • Knowledge of Amazon Web Services (AWS) for cloud-based data solutions
  • Skills in Databricks for big data analytics and machine learning workflows
  • System design and architecture expertise with a balance of high-level vision and detailed implementation
  • Proven capability to deliver significant technical impact in projects and organizations
  • Cross-disciplinary competency in various technical domains and stacks
  • Strong mentorship skills and commitment to sharing expertise within teams
  • Demonstrated innovation through tools, frameworks, or methodology integration
  • Flexibility to work with multiple programming languages, stacks, and domains
  • Fluency in English communication at a B2 level or higher
Nice to have
  • Proficiency in real-time data processing and streaming technologies
  • Knowledge 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