Navigate to Azure Data Factory and select "New Linked Service"

Amazon Marketplace Web Service
Amazon RDS for Oracle
Amazon RDS for SQL Server
Amazon Redshift
Amazon S3
Amazon S3 Compatible
Apache Impala
AppFigures (Preview)
Asana (Preview)
Azure Blob Storage
Azure Cosmos DB for MongoDB
Azure Cosmos DB for NoSQL
Azure Data Explorer (Kusto)
Azure Data Lake Storage Gen1
Azure Data Lake Storage Gen2
Azure Database for MariaDB
Azure Database for MySQL
Azure Database for PostgreSQL
Azure Databricks Delta Lake
Azure File Storage
Azure Key Vault
Azure SQL Database
Azure SQL Database Managed Instance
Azure Search
Azure Synapse Analytics
Azure Table Storage
Cassandra
Concur (Preview)
Couchbase (Preview)
DB2
Dataverse (Common Data Service for Apps)
Drill
Dynamics 365
Dynamics AX
Dynamics CRM
FTP
File system
GitHub
Google AdWords
Google BigQuery
Google Cloud Storage (S3 API)
Google Sheets (Preview)
Greenplum
HBase
HDFS
HTTP
Hive
HubSpot
Informix
Jira
Magento (Preview)
MariaDB
Marketo (Preview)
Microsoft 365 (Office 365)
Microsoft Access
MongoDB
MongoDB Atlas
MySQL
Netezza
ODBC
OData
Oracle
Oracle Cloud Storage (S3 API)
Oracle Eloqua (Preview)
Oracle Responsys (Preview)
Oracle Service Cloud (Preview)
PayPal (Preview)
Phoenix
PostgreSQL
Presto
QuickBooks (Preview)
Quickbase (Preview)
REST
SAP BW Open Hub
SAP BW via MDX
SAP CDC
SAP Cloud For Customer
SAP ECC
SAP HANA
SAP Table
SFTP
SQL server
Salesforce
Salesforce Marketing Cloud
Salesforce Service Cloud
ServiceNow
SharePoint Online List
Shopify (Preview)
Smartsheet (Preview)
Snowflake
Spark
Square (Preview)
Sybase
TeamDesk (Preview)
Teradata
Twilio (Preview)
Vertica
Web Table
Xero
Zendesk (Preview)
Zoho (Preview)
data.world (Preview)

Name your connection. Keep in mind each connection can connect to only 1 database so include your database name in the Liked Service name. 

Click on Description and add a clear description for future users

Click the "{accountName}.east-us-2.azure" field.

Click the paste your instance name. Remember that Azure format, AWS, and Google cloud URLs are slightly different. Please review documentation for specifics.

Add your System user name responsible for Loading data.

We selected the DB name directly out of Snowflake and reviewed the ROLE to ensure it has the correct permissions "GG_DEVELOPMENT_OPPS"

Type the name of your Warehouse used for loading data. In our case we use "LOADING"

Type the role that has access all of the required permissions to perform data pipeline related functions in ADF. "LOADING"

You can select the Role help icon to drill down.

Click "Test connection". If it does not work (It never does first time), Snowflake is good about returning useful errors to help you find out what may need to be updated.

Connect Azure Data Factory to Snowflake