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
• Background in Azure

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