We are seeking a highly skilled Senior Databricks Engineer to lead the architecture, optimization, and delivery of enterprise-scale lakehouse solutions. This is a client-facing role requiring strong technical depth and leadership. Responsibilities: - Design and implement enterprise data platforms using Databricks Lakehouse architecture - Lead migration of legacy data warehouses to modern cloud environments - Build scalable pipelines with Apache Spark and Delta Lake - Implement governance and security using Unity Catalog - Tune cluster performance and optimize cost efficiency - Mentor junior engineers and review technical designs - Work directly with stakeholders and business leaders Requirements:



- 5+ years in data engineering / cloud analytics - 3+ years of deep experience with Databricks - Strong Python, SQL, Spark, and distributed processing expertise - Hands-on experience in Microsoft Azure / Amazon Web Services / Google Cloud - Experience with lakehouse architecture, governance, CI/CD - Excellent communication and client-facing skills Preferred: - Databricks Professional certification - Team leadership experience - Migration/modernization project background Why Join? - Premium USD contractor rates - High-impact enterprise projects - Remote work

📌 Senior performance engineer - fulltime (Ciudad de México)
🏢 KWA Analytics
📍 Ciudad de México