Lead Data Software Engineer

Description

Summary: Seeking a Lead Data Software Engineer to build and scale big-data applications and cloud-native pipelines, advancing AI-assisted engineering practices and guiding cross-functional delivery. Highlights: 1. Lead technical delivery across data engineering and full-stack components 2. Drive AI-assisted engineering practices including Vibe Coding 3. Collaborate with product, marketing, and data stakeholders We are seeking a **Lead Data Software Engineer** to build and scale big\-data applications and cloud\-native pipelines while advancing AI\-assisted engineering practices. You will guide cross\-functional delivery across data and application layers and help shape reliable, scalable architectures—apply now. **Responsibilities** * Design scalable architectures for distributed data and application systems * Lead technical delivery across data engineering and full\-stack components * Develop high\-performance big\-data applications using Scala, Databricks, Spark SQL, Spark Streaming, and Python * Build and optimize Azure\-based data pipelines including ingestion, transformation, and orchestration with Azure Data Factory * Implement APIs and microservices that integrate marketing technology systems with client\-facing platforms * Build and maintain full\-stack applications using modern frontend frameworks and backend services * Apply design patterns to improve reliability, maintainability, and scalability * Drive AI\-assisted engineering practices including Vibe Coding and related accelerators * Collaborate with product, marketing, and data stakeholders to align scope, priorities, and outcomes **Requirements** * 5\+ years of experience in data software engineering with Python and Scala * 5\+ years of experience with Databricks and Spark technologies including Spark SQL and Spark Streaming * Proven leadership experience leading engineering teams in a fast\-paced, cross\-functional environment * Hands\-on project delivery experience translating business needs into technical solutions across data and application layers * Strong system design skills including event\-driven architectures and distributed design patterns * Full\-stack development skills with a modern frontend framework and backend services * API design skills for RESTful and GraphQL interfaces * Cloud engineering experience with Azure services including Azure Data Factory * CI/CD pipeline experience supporting full\-stack deployments * Strong communication skills to align stakeholders and explain technical tradeoffs * Upper\-Intermediate English proficiency (B2\) * Availability to overlap with PST until 10 am PST **Nice to have** * Apache Spark * Azure Data Factory * Java **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