A job can consist of a single task or a multi-task workflow with dependencies. Databricks handles task orchestration, cluster management, and error reporting. Tasks can be implemented in various formats and controlled by specifying dependencies, allowing for sequential or parallel execution. In this scenario, the second job's dependency on the first suggests the solution is to use multiple tasks in a single job with a linear dependency, ensuring the second task only starts after the first completes.