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 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