### Description

Allow an Airflow DAG to define a Databricks job with the `api/2.1/jobs/create` (or `api/2.1/jobs/reset`) endpoint then run that same job with the `api/2.1/jobs/run-now` endpoint. This would give similar capabilities as the DatabricksSubmitRun operator, but the `api/2.1/jobs/create` endpoint supports additional parameters that the `api/2.1/jobs/runs/submit` doesn't (e.g. `job_clusters`, `email_notifications`, etc.).

### Use case/motivation

Create and run a Databricks job all in the Airflow DAG. Currently, DatabricksSubmitRun operator uses the `api/2.1/jobs/runs/submit` endpoint which doesn't support all features and creates runs that aren't tied to a job in the Databricks UI. Also, DatabricksRunNow operator requires you to define the job either directly in the Databricks UI or through a separate CI/CD pipeline causing the headache of having to change code in multiple places.

### Related issues

_No response_

### Are you willing to submit a PR?

- [X] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

"""
        Retrieve run state of the cluster.
        :param cluster_id: id of the cluster
        :return: state of the cluster
        """
        json = {"cluster_id": cluster_id}
        response = self._do_api_call(GET_CLUSTER_ENDPOINT, json)
        state = response["state"]
        state_message = response["state_message"]
        return ClusterState(state, state_message)
    async def a_get_cluster_state(self, cluster_id: str) -> ClusterState:
        """
        Async version of `get_cluster_state`.
        :param cluster_id: id of the cluster
        :return: state of the cluster
        """
        json = {"cluster_id": cluster_id}
        response = await self._a_do_api_call(GET_CLUSTER_ENDPOINT, json)
        state = response["state"]
        state_message = response["state_message"]
        return ClusterState(state, state_message)
    def restart_cluster(self, json: dict) -> None:
        """
        Restarts the cluster.
        :param json: json dictionary containing cluster specification.
        """
        self._do_api_call(RESTART_CLUSTER_ENDPOINT, json)
    def start_cluster(self, json: dict) -> None: