<!--

Welcome to Apache Airflow!  For a smooth issue process, try to answer the following questions.
Don't worry if they're not all applicable; just try to include what you can :-)

If you need to include code snippets or logs, please put them in fenced code
blocks.  If they're super-long, please use the details tag like
<details><summary>super-long log</summary> lots of stuff </details>

Please delete these comment blocks before submitting the issue.

-->

**Description**

DatabricksRunNowOperator is missing the option to take in key word arguement _jar_params_ , it already can take the other ones notebook_params,python_params,spark_submit_params. https://docs.databricks.com/dev-tools/api/latest/jobs.html#run-now


**Use case / motivation**

Provide parity with the other options

airflow/providers/databricks/operators/databricks.py
"""
    Handles the Airflow + Databricks lifecycle logic for a Databricks operator
    :param operator: Databricks operator being handled
    :param context: Airflow context
    """
    if operator.do_xcom_push:
        context['ti'].xcom_push(key=XCOM_RUN_ID_KEY, value=operator.run_id)
    log.info('Run submitted with run_id: %s', operator.run_id)
    run_page_url = hook.get_run_page_url(operator.run_id)
    if operator.do_xcom_push:
        context['ti'].xcom_push(key=XCOM_RUN_PAGE_URL_KEY, value=run_page_url)
    log.info('View run status, Spark UI, and logs at %s', run_page_url)
    while True:
        run_state = hook.get_run_state(operator.run_id)
        if run_state.is_terminal:
            if run_state.is_successful:
                log.info('%s completed successfully.', operator.task_id)
                log.info('View run status, Spark UI, and logs at %s', run_page_url)
                return
            else:
                error_message = f'{operator.task_id} failed with terminal state: {run_state}'
                raise AirflowException(error_message)
        else:
            log.info('%s in run state: %s', operator.task_id, run_state)
            log.info('View run status, Spark UI, and logs at %s', run_page_url)
            log.info('Sleeping for %s seconds.', operator.polling_period_seconds)
            time.sleep(operator.polling_period_seconds)
class DatabricksSubmitRunOperator(BaseOperator):