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. We are looking for a Lead Data Software Engineer to drive scalable data solutions and guide end-to-end technical delivery with clients. You will partner directly with stakeholders, shape robust batch and streaming pipelines, and set a high bar for architecture and quality across the program—apply now. Responsibilities Develop and maintain the codebase for ETL and ELT pipelines, large batch/micro batch processing, and streaming systems Build the infrastructure needed for efficient extraction, transformation, and loading from diverse data sources using ADF, Spark, Kafka, or similar technologies Identify, design, and implement internal process improvements, including automating manual steps, optimizing data delivery, and reworking infrastructure for better scalability Design and implement modern data services solutions using Spring Boot, ReactJS, NoSQL, or other UI and API related technologies Ensure governance of delivery management and production processes according to the selected delivery model Serve as the single accountable owner for top management and stakeholders on delivery topics, including escalations, upsells, and ramp-downs Provide technical leadership across delivery by planning sound, future-proof architecture and ensuring implementation meets technical quality standards Write stories and corresponding acceptance criteria to support agile/scrum execution Coordinate work across multiple disciplines and stakeholders Ensure projects are delivered in line with defined processes and methodologies, with a strong focus on agile approaches Establish a continuous delivery risk management strategy that enables proactive decisions and actions throughout the delivery life cycle Measure and improve delivery productivity, act as a consultant to Data Engineers, and perform production support and deployment activities Requirements 5+ years of experience in data software engineering High proficiency with SQL, Spark, and Scala Deep expertise in Databricks Solid understanding of ETL/ELT pipelines, batch and streaming data processing Working knowledge of delivery management, agile methodologies, and technical leadership Ability to communicate directly with clients in English at B2 (Upper-Intermediate) level or higher Nice to have Knowledge of Spark Streaming Familiarity with Kafka We offer International projects with top brands Work with global teams of highly skilled, diverse peers Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification coursesUnlimited 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 #J-18808-Ljbffr