Databricks Data Engineer

Job description

This is a client-facing role that combines hands-on technical delivery with consulting best practices - As a Databricks Data Engineer, you will work directly with clients across multiple industries to design, implement, and optimize Databricks-based data solutions - You will be a key member of our Professional Services delivery teams, delivering high-quality projects on time and within scope while building strong client relationships Key Responsibilities: Participate in solutioning activities (scoping, estimation, technical demos) as needed - Lead and contribute to end-to-end Databricks implementations for clients, including data migration, Lakehouse architecture, and pipeline development - Gather technical requirements, design solutions, and present recommendations to client stakeholders (technical and business) - Build scalable ETL/ELT pipelines using PySpark, Delta Lake, Delta Live Tables (DLT), and Databricks Workflows - Design and implement Databricks Genie - Design and implement semantic layers - Use Databricks AI features to accelerate development, debugging, and code optimization - Design and implement Lakebase architectures for operational and analytical workloads, includi...