Integrate Snowflake Notebook Scheduling with Apache Airflow

### Description

Enable scheduling and execution of Snowflake Notebooks from Apache Airflow. This feature would allow users to orchestrate and manage Snowflake Notebooks directly within Airflow, leveraging Airflow's scheduling, dependency management, and monitoring capabilities.

### Use case/motivation

The recent launch of Snowflake Notebooks offers a powerful environment for data engineering, analytics, and machine learning workflows. By integrating Snowflake Notebooks with Airflow, users can automate their data workflows more efficiently. This integration will enable users to:
- Schedule regular execution of Snowflake Notebooks.
- Incorporate Snowflake Notebooks into larger, multi-step data pipelines.
- Use Airflow's monitoring and alerting features to manage the execution of Snowflake Notebooks.
- Reduce the need for manual intervention, thereby increasing productivity and ensuring consistency in data processes.

This feature will greatly benefit data teams who already use Snowflake and Airflow, providing a seamless and automated way to manage their end-to-end data workflows.

### Related issues

_No response_

### Are you willing to submit a PR?

- [ ] 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)

No files, tests, or entry points are specified. Start by defining the Snowflake Notebook scheduling and execution interface within Airflow, then establish how scheduling, dependencies, monitoring, and alerting should work; done requires an agreed design and validated end-to-end integration.

Written by the indexing model from the issue text.