First, download the necessary font files and metadata from Google Web Fonts. You can do this by navigating to the Google Fonts website, selecting the fonts you need, and downloading them to your local machine. This typically includes font files in formats like TTF or OTF and possibly JSON or XML files containing metadata.

Once downloaded, extract the contents if they are in a compressed format. Organize the files into a structured directory on your local machine. Ensure that metadata is separated from the actual font files, as you may need to upload these different types of data separately to Snowflake.

If you have metadata in JSON or XML format, convert it to CSV or another tabular format that Snowflake can easily import. You can use a script or manual process to parse JSON/XML data and save it as a CSV file. This step is crucial to ensure that all data aligns with Snowflake's compatible data types and structures.

Log into your Snowflake account and create a new table to hold your Google Web Fonts metadata. Use the Snowflake SQL command interface to define the table structure, ensuring that it matches the schema of your CSV or tabular data. Here"s an example SQL command to create a table:

```sql
CREATE TABLE google_fonts_metadata (
font_family STRING,
category STRING,
version STRING,
last_modified TIMESTAMP,
files STRING
);
```

Use the Snowflake web interface or command line to upload your CSV file to a Snowflake stage. A stage is a temporary storage location in Snowflake where data files can be placed before being loaded into a table. Use the following command to create a stage and upload your file:

```sql
CREATE OR REPLACE STAGE my_stage;
PUT file://path_to_your_file.csv @my_stage;
```

With your data file uploaded to a stage, load it into the previously created table using Snowflake's `COPY INTO` command. This command maps your CSV data to the table columns:

```sql
COPY INTO google_fonts_metadata
FROM @my_stage/file_name.csv
FILE_FORMAT = (TYPE = 'CSV' FIELD_OPTIONALLY_ENCLOSED_BY = '"');
```

After loading the data, run a query to verify that the data has been imported correctly into the Snowflake table. Double-check that all rows and columns match your expectations. Once confirmed, you can remove the files from the stage to clean up:

```sql
REMOVE @my_stage;
```

By following these steps, you can manually move data from Google Web Fonts to Snowflake Data Cloud without the need for third-party connectors or integrations.