We are seeking a seasoned and highly driven **Chief Data Engineer** with extensive experience in data processing and advanced data management. The ideal candidate will lead efforts in integrating data from multiple sources, ensuring its transformation into reliable, insightful datasets, and overseeing effective management across advanced cloud storage environments. If you possess advanced expertise in Python\-based data workflows, have operated extensively with cutting\-edge tools like Databricks, and excel in addressing the complexities of large\-scale datasets, we would like to connect with you! 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** * Drive the design and governance of enterprise\-level data pipelines for scalable ingestion, transformation, and storage across multiple ecosystems * Provide strategic oversight and practical expertise in handling complex datasets, ensuring the preparation of highly optimized, scalable systems for analytical applications * Guide and own the use of Python and advanced data processing frameworks (e.g., Pandas, NumPy) for mission\-critical exploratory data analysis (EDA) * Oversee the adoption and operational alignment of advanced cloud tools and infrastructure, standardizing scalability and ensuring ongoing performance excellence * Demonstrate expertise in Databricks, including full lifecycle oversight of Lakehouse architecture, workflows, and ETL optimization **Requirements** * 7\+ years in data engineering roles, demonstrating a high level of self\-direction and strategic ownership * Minimum of 2 years in leadership or managerial roles driving teams and data strategy at scale * Participation in at least two full\-cycle projects or multiple projects spanning various development phases * Advanced proficiency in Python for complex data workflows and modeling using tools like Pandas, NumPy, and domain\-specific libraries * Extensive experience handling and strategizing for large\-scale structured/unstructured datasets, particularly device, medical, IoT, or hardware\-generated logs * Comprehensive knowledge and practical experience with Databricks workflows, Lakehouse architecture, and ETL process optimization * In\-depth expertise working closely with device\-derived data such as IoT logs, hardware diagnostics, or medical device outputs * Exceptional communication and leadership capabilities coupled with fluency in English at a C1 level or higher **Nice to have** * Industry\-recognized experience with PyTorch, TensorFlow, or equivalent advanced AI/ML processing systems * Ability to define and integrate AI/ML strategies while effectively utilizing pre\-built models for real\-world applications **We offer** * Connectivity Bonus (25,000 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.*