Live opening · Posted 3 days ago
Lead Data Engineer (Databricks & Spark)
EPAM Systems · Argentina (Remote)
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At a glance
The key details from the original listing.
CompanyEPAM Systems
LocationArgentina (Remote)
Work modeYes
Source
Linkedin
ListedPosted 3 days ago
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About the role
Description supplied by the original job listing.
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
Advanced SQL skills for transformation, modeling, and performance tuning
Upper-Intermediate English proficiency (B2) for leading technical discussions
Nice to have
Data architecture experience for enterprise lakehouse patterns
Data solution architecture skills to define scalable platform designs
Scala proficiency for Spark development and optimization
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
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
Work arrangement
Yes
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