We are looking for a Lead Data Software Engineer to deliver high-performance data applications and cloud-native pipelines while advancing AI-assisted engineering practices. You will collaborate across data, product, and marketing functions to turn business needs into scalable solutions—apply now.

Responsibilities Design high-performance big-data applications using Scala, Databricks, Spark SQL, Spark Streaming, and Python

Build and optimize cloud-native data pipelines on Azure, including ingestion, transformation, and orchestration

Lead AI-assisted engineering practices, including Vibe Coding and other generative-AI accelerators

Architect event-driven and distributed systems using modern design patterns for reliability and scalability

Develop full-stack applications with modern JavaScript frameworks and backend services

Implement robust APIs and microservices that integrate MarTech systems with client-facing platforms

Collaborate with product, marketing, and data teams to translate business needs into technical solutions

Improve CI/CD pipelines and deployment workflows for data and application services

Align stakeholders on scope, milestones, and technical decisions across data and application layers Requirements 5+ years of experience building big-data applications with Scala, Databricks, and Python





5+ years of experience designing and optimizing data pipelines on Azure

Proven technical leadership experience guiding engineers in cross-functional delivery

Strong project delivery skills driving solutions from requirements to production

Advanced system design skills with event-driven and distributed architecture patterns

Strong communication skills translating technical tradeoffs into business impact

Upper-Intermediate English proficiency (B2)

AI-augmented development experience with Vibe Coding or comparable frameworks

Full-stack engineering experience with modern frontend frameworks and backend services

API design skills with RESTful and GraphQL interfaces

CI/CD pipeline experience supporting automated deployments Nice to have Apache Spark

Azure Data Factory

Java

JavaScript We offer International projects with top brands

Work with integral 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

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