diff --git a/src/astro/databases/snowflake.py b/src/astro/databases/snowflake.py
index d6c2fe0e8..26e34c528 100644
--- a/src/astro/databases/snowflake.py
+++ b/src/astro/databases/snowflake.py
@@ -1,5 +1,6 @@
 """Snowflake database implementation."""
 import logging
+import os
 import random
 import string
 from dataclasses import dataclass, field
@@ -291,6 +292,48 @@ def drop_stage(self, stage: SnowflakeStage) -> None:
     # Table load methods
     # ---------------------------------------------------------
 
+    def load_file_to_table_natively(
+        self,
+        source_file: File,
+        target_table: Table,
+        if_exists: LoadExistStrategy = "replace",
+        native_support_kwargs: Optional[Dict] = None,
+        **kwargs,
+    ):
+        """
+        Load the content of a file to an existing Snowflake table natively by:
+        - Creating a Snowflake external stage
+        - Using Snowflake COPY INTO statement
+
+        Requirements:
+        - The user must have permissions to create a STAGE in Snowflake.
+        - If loading from GCP Cloud Storage, `native_support_kwargs` must define `storage_integration`
+        - If loading from AWS S3, the credentials for creating the stage may be retrieved from
+          the Airflow connection or from the `storage_integration` attribute within `native_support_kwargs`.
+
+        :param source_file:
+        :param target_table:
+        :param if_exists
+
+        .. seealso::
+            `Snowflake official documentation on COPY INTO
+            <https://docs.snowflake.com/en/sql-reference/sql/copy-into-table.html>`_
+            `Snowflake official documentation on CREATE STAGE
+            <https://docs.snowflake.com/en/sql-reference/sql/create-stage.html>`_
+        """
+        native_support_kwargs = native_support_kwargs or {}
+        storage_integration = native_support_kwargs.get("storage_integration")
+        stage = self.create_stage(
+            file=source_file, storage_integration=storage_integration
+        )
+        table_name = self.get_table_qualified_name(target_table)
+        file_path = os.path.basename(source_file.path) or ""
+        sql_statement = (
+            f"COPY INTO {table_name} FROM @{stage.qualified_name}/{file_path}"
+        )
+        self.hook.run(sql_statement)
+        self.drop_stage(stage)
+
     def load_pandas_dataframe_to_table(
         self,
         source_dataframe: pd.DataFrame,