diff --git a/awswrangler/athena/_spark.py b/awswrangler/athena/_spark.py
index 40cdecf2e..10ef03097 100644
--- a/awswrangler/athena/_spark.py
+++ b/awswrangler/athena/_spark.py
@@ -91,6 +91,7 @@ def create_spark_session(
     max_concurrent_dpus: int = 5,
     default_executor_dpu_size: int = 1,
     additional_configs: Optional[Dict[str, Any]] = None,
+    spark_properties: Optional[Dict[str, Any]] = None,
     idle_timeout: int = 15,
     boto3_session: Optional[boto3.Session] = None,
 ) -> str:
@@ -110,6 +111,9 @@ def create_spark_session(
         The default number of DPUs to use for executors. The default is 1.
     additional_configs : Dict[str, Any], optional
         Contains additional engine parameter mappings in the form of key-value pairs.
+    spark_properties: Dict[str, Any], optional
+        Contains SparkProperties in the form of key-value pairs.Specifies custom jar files and Spark properties
+        for use cases like cluster encryption, table formats, and general Spark tuning.
     idle_timeout : int, optional
          The idle timeout in minutes for the session. The default is 15.
     boto3_session : boto3.Session(), optional
@@ -134,6 +138,8 @@ def create_spark_session(
     }
     if additional_configs:
         engine_configuration["AdditionalConfigs"] = additional_configs
+    if spark_properties:
+        engine_configuration["SparkProperties"] = spark_properties
     response = client_athena.start_session(
         WorkGroup=workgroup,
         EngineConfiguration=engine_configuration,
@@ -157,6 +163,7 @@ def run_spark_calculation(
     max_concurrent_dpus: int = 5,
     default_executor_dpu_size: int = 1,
     additional_configs: Optional[Dict[str, Any]] = None,
+    spark_properties: Optional[Dict[str, Any]] = None,
     idle_timeout: int = 15,
     boto3_session: Optional[boto3.Session] = None,
 ) -> Dict[str, Any]:
@@ -180,6 +187,9 @@ def run_spark_calculation(
         The default number of DPUs to use for executors. The default is 1.
     additional_configs : Dict[str, Any], optional
         Contains additional engine parameter mappings in the form of key-value pairs.
+    spark_properties: Dict[str, Any], optional
+        Contains SparkProperties in the form of key-value pairs.Specifies custom jar files and Spark properties
+        for use cases like cluster encryption, table formats, and general Spark tuning.
     idle_timeout : int, optional
         The idle timeout in minutes for the session. The default is 15.
     boto3_session : boto3.Session(), optional
@@ -208,6 +218,7 @@ def run_spark_calculation(
             max_concurrent_dpus=max_concurrent_dpus,
             default_executor_dpu_size=default_executor_dpu_size,
             additional_configs=additional_configs,
+            spark_properties=spark_properties,
             idle_timeout=idle_timeout,
             boto3_session=boto3_session,
         )
diff --git a/tests/unit/test_athena_spark.py b/tests/unit/test_athena_spark.py
index 5de8b9200..e1d94178d 100644
--- a/tests/unit/test_athena_spark.py
+++ b/tests/unit/test_athena_spark.py
@@ -47,3 +47,28 @@ def test_athena_spark_calculation(code, path, workgroup_spark):
     )
 
     assert result["Status"]["State"] == "COMPLETED"
+
+
+@pytest.mark.parametrize(
+    "code",
+    [
+        """
+output_path = "$PATH"
+
+data = spark.range(0, 5)
+data.write.format("delta").save(output_path)
+        """,
+    ],
+)
+def test_athena_spark_calculation_with_spark_properties(code, path, workgroup_spark):
+    code = code.replace("$PATH", path)
+
+    result = wr.athena.run_spark_calculation(
+        code=code,
+        workgroup=workgroup_spark,
+        spark_properties={
+            "spark.sql.catalog.spark_catalog": "org.apache.spark.sql.delta.catalog.DeltaCatalog",
+            "spark.sql.extensions": "io.delta.sql.DeltaSparkSessionExtension",
+        },
+    )
+    assert result["Status"]["State"] == "COMPLETED"