Databricks Engineer

Title:- Databricks Engineer or Databricks Developer Location :- Birmingham AL 1. Deliverables Expected deliverables may include (but are not limited to): Updated Databricks architecture designs and diagrams Optimized data pipelines and notebook implementations AI/BI dashboards and semantic models Configured and functional Genie Rooms Databricks chatbot proof-of-concept or production implementation Technical documentation and runbooks Knowledge transfer sessions and walkthroughs 2. Roles and Responsibilities Databricks Engineer / Developer Provide hands-on development, configuration, and optimization Serve as a technical advisor on Databricks architecture and AI enablement Collaborate with data engineering, analytics, and business stakeholders Ensure deliverables meet quality, security, and performance standards 3. Required Skills and Experience 3.1 Must Have Skills The Databricks Engineer / Developer must demonstrate strong hands-on experience with the following core capabilities: Proficiency in SQL, YAML, and Databricks Notebooks for data engineering, analytics, and automation Deep understanding and practical application of Medallion Architecture (Bronze, Silver, Gold patterns) Experience designing, managing, and optimizing Delta Lake tables Strong knowledge of Unity Catalog, including data governance, permissions, lineage, and security best practices Hands-on experience building and maintaining AI/BI Dashboards and Reports within Databricks Experience configuring and enabling Databricks Genie Rooms Practical experience with Natural Language to SQL capabilities and semantic modeling to support business users Strong proficiency in Python for data engineering, analytics, and AI workloads 3.2 Version Control, CI/CD, and Environment Management The Engineer must have demonstrated experience with modern DevOps practices in Databricks environments, including: Implementing and managing Databricks Asset Bundles using GitHub Applying source control best practices for notebooks, jobs, and configuration Promoting and managing solutions across development, UAT, and production environments Supporting CI/CD pipelines for Databricks workloads, ensuring repeatability and governance Send me resume at