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

General career opportunities

Volunteer and community involvement opportunities

EPAM Employee Groups

Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

📌 Lead Data Software Engineer (Argentina)
🏢 EPAM Systems
📍 Argentina