We are looking for a Lead Data Engineer to build and evolve a next-generation analytics platform with a strong focus on Databricks and scalable data products. You will combine hands-on delivery with technical leadership across ingestion, modeling, governance, and AI-enabled engineering practices.ResponsibilitiesDesign scalable data ingestion, transformation, and data product frameworksDefine Databricks best practices, including Medallion Architecture, optimization, governance, and operational standardsBuild batch, near real-time, and streaming pipelines using Databricks capabilitiesDeliver end-to-end data products that support analytics use cases across domainsDevelop trusted analytical datasets, semantic models, and governed consumption layers for reportingImplement data quality, lineage, monitoring, and observability practices across pipelinesEnable self-service analytics through reusable,



business-ready datasets and platform featuresLead proof-of-concepts and evaluate emerging capabilities across the Databricks ecosystemDefine AI SDLC practices and AI-assisted development patterns to accelerate deliveryPartner with engineering, analytics, product, and business stakeholders and mentor engineers on best practicesRequirements5+ years of data engineering experience1+ years of technical leadership experience guiding engineering standards and best practicesStrong platform delivery experience building enterprise analytics solutions end to endAdvanced Apache Spark and PySpark expertise for large-scale processingStrong Databricks production experience with performance optimization and operational excellenceAdvanced SQL skills for transformation, modeling, and analytics consumptionStrong data governance knowledge including security, quality, and lineage practicesSolid CI/CD experience and Data Engineering SDLC best practicesStrong communication skills to lead technical discussions with cross-functional stakeholdersUpper-Intermediate English proficiency (B2) for day-to-day

📌 Lead Data Engineer (México)
🏢 Epam Systems
📍 México