Senior Databricks Engineer

Company: KWA Analytics

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

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