DBT Cloud Admin / Architect with Azure Databricks

Job Title: Senior DBT & Databricks Administrator Location: Nashville, TN – Onsite Position Type: Contract Job Description: Client is seeking a highly experienced Senior DBT & Databricks Administrator with strong Azure Cloud experience to support and manage our enterprise DBT, Databricks, and Azure data environment. The ideal candidate will have strong hands-on experience configuring DBT Cloud, creating and managing DBT projects, developing DBT models, administering Databricks, and working with the Databricks Semantic Layer. Key Responsibilities: Administer and configure DBT Cloud environments, projects, connections, users, jobs, environments, and deployment configurations. Create, configure, and manage multiple DBT projects within the enterprise environment. Develop and maintain DBT models, sources, seeds, snapshots, macros, tests, and documentation. Build and maintain data transformation pipelines using DBT with Databricks onn Azure Cloud. Develop and manage DBT models leveraging the Databricks Semantic Layer. Configure Azure Databricks connections, catalogs, schemas, warehouses/SQL endpoints, and related DBT integrations. Manage DBT development, test, and production environments and ensure proper project configuration across environments. Troubleshoot DBT Cloud jobs, model failures, connectivity issues, permissions, and deployment problems. Monitor scheduled DBT jobs and investigate failed or delayed executions. Implement DBT testing, data quality checks, documentation, and lineage. Work closely with data engineers, analytics engineers, and business teams to understand existing models and transformation requirements. Review existing DBT projects and models and make enhancements based on business and technical requirements. Support production deployments and ensure reliable execution of DBT workflows. Maintain platform standards, naming conventions, project structures, and best practices across DBT and Databricks. Provide knowledge transfer and documentation for the existing DBT/Databricks environment. Required Skills: Experience in data engineering, analytics engineering, or data platform administration. Strong hands-on experience with DBT Cloud administration and configuration. Strong experience creating and managing DBT projects. Extensive experience developing DBT models using Databricks on Azure cloud. Strong understanding of Databricks Semantic Layer and its implementation with DBT. Strong SQL development and optimization skills. Experience with DBT models, macros, tests, snapshots, sources, seeds, and documentation. Strong understanding of DBT environments, jobs, deployments, schedules, and configurations. Hands-on experience with Databricks SQL, Unity Catalog, catalogs, schemas, and permissions. Experience troubleshooting DBT Cloud and Databricks integration issues. Ability to quickly take ownership of an existing DBT/Databricks environment. Strong communication and problem-solving skills. Ideal Candidate: The ideal candidate is a hands-on DBT and Databricks administrator/engineer with Azure cloud experience, not just a DBT developer. They should be comfortable taking over an existing environment, configuring DBT Cloud, creating projects, developing and troubleshooting models, and working extensively with the Databricks Semantic Layer.