EPAM is a leading general provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are building a next-generation analytics platform and need a Lead Data Engineer to shape scalable ingestion, transformation, and governed data products on Databricks. You will combine hands-on delivery with technical leadership and architecture to enable self-service analytics and AI-assisted engineering.

Responsibilities

• Design scalable data ingestion and transformation frameworks on Databricks
• Define and enforce Databricks best practices for medallion layers and operational excellence




• Build batch and streaming pipelines using Apache Spark and PySpark
• Deliver end-to-end data products from ingestion through governed consumption layers
• Develop trusted analytical datasets and semantic models for reporting and self-service analytics
• Implement data quality, lineage, monitoring, and observability standards
• Lead proof-of-concepts and evaluate emerging capabilities in the Databricks ecosystem
• Mentor engineers and drive reusable frameworks adopted across teams

Requirements

• 5+ years of data engineering experience with production-grade platforms
• Strong Databricks experience in enterprise production environments
• Lead-level technical leadership skills to drive standards and mentor engineers
• End-to-end delivery experience across ingestion, transformation, semantic layers, and reporting
• Advanced Apache Spark and PySpark expertise for scalable pipeline development
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📌 Lead Data Engineer (Colombia)
🏢 EPAM Systems
📍 Colombia