### 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)

@provide_session
    def setup_method(self, method, session=None):
        conn = session.query(Connection).filter(Connection.conn_id == DEFAULT_CONN_ID).first()
        conn.extra = json.dumps({"token": TOKEN})
        session.commit()
        self.hook = DatabricksHook()
class TestRunState:
    def test_is_terminal_true(self):
        terminal_states = ["TERMINATED", "SKIPPED", "INTERNAL_ERROR"]
        for state in terminal_states:
            run_state = RunState(state, "", "")
            assert run_state.is_terminal
    def test_is_terminal_false(self):
        non_terminal_states = ["PENDING", "RUNNING", "TERMINATING", "QUEUED"]
        for state in non_terminal_states:
            run_state = RunState(state, "", "")
            assert not run_state.is_terminal
    def test_is_terminal_with_nonexistent_life_cycle_state(self):
        with pytest.raises(AirflowException):
            run_state = RunState("blah", "", "")
            assert run_state.is_terminal
    def test_is_successful(self):