diff --git a/airflow/providers/databricks/operators/databricks_sql.py b/airflow/providers/databricks/operators/databricks_sql.py
index a14c083fa7326..ea2f1d0915030 100644
--- a/airflow/providers/databricks/operators/databricks_sql.py
+++ b/airflow/providers/databricks/operators/databricks_sql.py
@@ -22,6 +22,7 @@
 import json
 from typing import TYPE_CHECKING, Any, Sequence
 
+from databricks.sql.types import Row
 from databricks.sql.utils import ParamEscaper
 
 from airflow.exceptions import AirflowException
@@ -33,6 +34,10 @@
     from airflow.utils.context import Context
 
 
+def make_serializable(val: Row):
+    return tuple(val)
+
+
 class DatabricksSqlOperator(SQLExecuteQueryOperator):
     """
     Executes SQL code in a Databricks SQL endpoint or a Databricks cluster.
@@ -125,7 +130,7 @@ def _should_run_output_processing(self) -> bool:
 
     def _process_output(self, results: list[Any], descriptions: list[Sequence[Sequence] | None]) -> list[Any]:
         if not self._output_path:
-            return list(zip(descriptions, results))
+            return list(zip(descriptions, [[make_serializable(row) for row in res] for res in results]))
         if not self._output_format:
             raise AirflowException("Output format should be specified!")
         # Output to a file only the result of last query
@@ -158,7 +163,7 @@ def _process_output(self, results: list[Any], descriptions: list[Sequence[Sequen
                     file.write("\n")
         else:
             raise AirflowException(f"Unsupported output format: '{self._output_format}'")
-        return list(zip(descriptions, results))
+        return list(zip(descriptions, [[make_serializable(row) for row in res] for res in results]))
 
 
 COPY_INTO_APPROVED_FORMATS = ["CSV", "JSON", "AVRO", "ORC", "PARQUET", "TEXT", "BINARYFILE"]
diff --git a/tests/providers/databricks/operators/test_databricks_sql.py b/tests/providers/databricks/operators/test_databricks_sql.py
index dd0c9b01870ea..5c5d4c92af676 100644
--- a/tests/providers/databricks/operators/test_databricks_sql.py
+++ b/tests/providers/databricks/operators/test_databricks_sql.py
@@ -22,10 +22,10 @@
 from unittest.mock import patch
 
 import pytest
-from databricks.sql.types import Row
 
 from airflow.providers.common.sql.hooks.sql import fetch_all_handler
-from airflow.providers.databricks.operators.databricks_sql import DatabricksSqlOperator
+from airflow.providers.databricks.operators.databricks_sql import DatabricksSqlOperator, Row
+from airflow.serialization.serde import serialize
 
 DATE = "2017-04-20"
 TASK_ID = "databricks-sql-operator"
@@ -151,6 +151,25 @@ def test_exec_success(sql, return_last, split_statement, hook_results, hook_desc
         )
 
 
+def test_return_value_serialization():
+    hook_descriptions = [[("id",), ("value",)]]
+    hook_results = [Row(id=1, value="value1"), Row(id=2, value="value2")]
+
+    with patch("airflow.providers.databricks.operators.databricks_sql.DatabricksSqlHook") as db_mock_class:
+        op = DatabricksSqlOperator(
+            task_id=TASK_ID,
+            sql="select * from dummy2",
+            do_xcom_push=True,
+            return_last=True,
+        )
+        db_mock = db_mock_class.return_value
+        db_mock.run.return_value = hook_results
+        db_mock.descriptions = hook_descriptions
+        result = op.execute({})
+        serialized_result = serialize(result)
+        assert serialized_result == serialize(([("id",), ("value",)], [(1, "value1"), (2, "value2")]))
+
+
 @pytest.mark.parametrize(
     "return_last, split_statements, sql, descriptions, hook_results, do_xcom_push",
     [