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