We are looking for a skilled Chief Data Engineer to join our remote team and play a pivotal role in creating cutting\-edge and scalable data solutions. This position involves leading technical teams, shaping system architecture, and delivering impactful results for complex data\-related challenges. The ideal candidate will bring a strong technical foundation, proven leadership experience, and a passion for innovation and team development. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi\-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting\-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. **Responsibilities** * Architect and implement robust and scalable data systems * Build and manage data pipelines to ensure high\-quality and accessible data * Work closely with stakeholders to identify requirements and deliver tailored solutions * Offer technical leadership and mentoring to engineering teams * Enhance system reliability, scalability, and performance * Promote best practices and ensure the delivery of well\-structured, maintainable code * Review code and actively participate in technical discussions * Engage in pre\-sales activities, client collaborations, and rapid\-response initiatives * Encourage knowledge sharing through meetups and technical presentations * Stay updated on advancements in technology and introduce innovative tools and approaches **Requirements** * Degree in Engineering, Computer Science, or a related discipline * Seven or more years of experience as a Data Engineer * At least two years of experience in leading teams and managing technical projects * Involvement in a minimum of two complete project lifecycles or multiple development phases * Extensive hands\-on experience in coding and addressing complex technical challenges * Expertise in Python for automation, data analysis, and processing * Comprehensive knowledge of AWS services for cloud\-based data solutions * Proven experience with Databricks for advanced analytics and machine learning workflows * Strong ability in system design and architecture, balancing strategic vision with practical implementation * A history of delivering measurable technical impact across projects and teams * Broad understanding of various technical domains and stacks * Commitment to mentoring team members and sharing knowledge across the organization * Ability to innovate and implement new tools, frameworks, and solutions * Flexibility to work across different programming languages, stacks, and areas of expertise * Proficiency in English at a B2 level or higher for effective communication **Nice to have** * Hands\-on experience with technologies for real\-time data processing and streaming * Understanding of advanced AI and machine learning tools and frameworks * Knowledge of serverless computing solutions for efficient data workflows **We offer** * Connectivity Bonus (15,000 ARS are paid with a salary receipt at the end of each month as a non\-wages concept). * Medicina Prepaga (It covers the collaborator and direct family group). * Paternity Leave (Two additional days are added to what is established by law, total of 4 days). * Discounts card. * English Training (English lessons, twice per week). * Training Program (Access to multiple customized training plans according to the needs of each role within the company). * Marriage bonus (The company doubles the allowance established by law that ANSES offers). * Referral Program (Referral bonus is paid when the referral of a collaborator joins the Company). * External Agreements and Discounts. * Vacations: 14 calendar days a year *By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice and Policy.*