We are building a Lead Data Software Engineer role to deliver cloud-native big-data and full-stack solutions for our data and MarTech ecosystem at scale. You will partner with product, marketing, and data teams to design reliable distributed systems, modern apps, and Azure-based pipelines that connect MarTech and customer-facing platforms—apply now.

Responsibilities

- Design and develop high-performance big-data applications using Scala, Databricks, Spark SQL, Spark Streaming, and Python
- Implement and optimize cloud-native data pipelines on Azure, including ADF-based ingestion, transformation, and orchestration
- Build and maintain full-stack applications using modern JavaScript frameworks and backend services
- Create robust APIs and microservices that integrate MarTech systems with customer-facing platforms
- Apply modern design patterns to improve reliability, maintainability, and scalability across distributed systems and full-stack architectures
- Drive AI-assisted engineering practices including Vibe Coding and other generative-AI development accelerators
- Translate business needs into durable technical solutions across data and application layers with cross-functional teams

Requirements

- Hands-on experience (5+ years) with big-data technologies such as Scala, Databricks, Spark SQL, and Spark Streaming, along with Python
- Practical experience with cloud engineering on Azure services, including Azure Data Factory
- Deep expertise in advanced system design, including event-driven architectures and distributed design patterns




- Full-stack engineering experience with frontend frameworks such as React, Angular, or Vue
- Solid background in backend development using Node.js, Python, or Java
- Proficiency in RESTful and GraphQL API design, along with CI/CD pipelines supporting full-stack deployments
- Proven ability to lead engineering teams in a fast-paced, cross-functional environment
- Strong communication and stakeholder alignment skills with the ability to translate technical concepts into business impact
- English proficiency at B2 level or higher

Nice to have

- Experience with AI-augmented development such as Vibe Coding or comparable frameworks
- Exposure to modern AI/ML pipelines for personalization, segmentation, or content automation

We offer

- International projects with top brands
- Work with general 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

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.

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