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