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

📌 Full time || Performance Engineer (Ciudad de México)
🏢 KWA Analytics
📍 Ciudad de México