diff --git a/native/proto/src/proto/operator.proto b/native/proto/src/proto/operator.proto
index 015b5d96b6..1511a107c8 100644
--- a/native/proto/src/proto/operator.proto
+++ b/native/proto/src/proto/operator.proto
@@ -245,6 +245,8 @@ message ParquetWriter {
   optional string job_id = 6;
   // Task attempt ID for this specific task
   optional int32 task_attempt_id = 7;
+//  set of partition columns
+  repeated string partition_columns = 8;
 }
 
 enum AggregateMode {
diff --git a/spark/src/main/scala/org/apache/comet/serde/operator/CometDataWritingCommand.scala b/spark/src/main/scala/org/apache/comet/serde/operator/CometDataWritingCommand.scala
index 8349329841..6c1d9ce5b9 100644
--- a/spark/src/main/scala/org/apache/comet/serde/operator/CometDataWritingCommand.scala
+++ b/spark/src/main/scala/org/apache/comet/serde/operator/CometDataWritingCommand.scala
@@ -29,6 +29,7 @@ import org.apache.spark.sql.execution.command.DataWritingCommandExec
 import org.apache.spark.sql.execution.datasources.{InsertIntoHadoopFsRelationCommand, WriteFilesExec}
 import org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat
 import org.apache.spark.sql.internal.SQLConf
+import org.apache.spark.sql.internal.SQLConf.PartitionOverwriteMode
 
 import org.apache.comet.{CometConf, ConfigEntry, DataTypeSupport}
 import org.apache.comet.CometSparkSessionExtensions.withInfo
@@ -62,7 +63,7 @@ object CometDataWritingCommand extends CometOperatorSerde[DataWritingCommandExec
             }
 
             if (cmd.partitionColumns.nonEmpty || cmd.staticPartitions.nonEmpty) {
-              return Unsupported(Some("Partitioned writes are not supported"))
+              return Incompatible(Some("Partitioned writes are not supported"))
             }
 
             if (cmd.query.output.exists(attr => DataTypeSupport.isComplexType(attr.dataType))) {
@@ -167,6 +168,9 @@ object CometDataWritingCommand extends CometOperatorSerde[DataWritingCommandExec
         other
     }
 
+    val isDynamicOverWriteMode = cmd.partitionColumns.nonEmpty &&
+      SQLConf.get.partitionOverwriteMode == PartitionOverwriteMode.DYNAMIC
+
     // Create FileCommitProtocol for atomic writes
     val jobId = java.util.UUID.randomUUID().toString
     val committer =
@@ -178,11 +182,7 @@ object CometDataWritingCommand extends CometOperatorSerde[DataWritingCommandExec
           committerClass.getConstructor(classOf[String], classOf[String], classOf[Boolean])
         Some(
           constructor
-            .newInstance(
-              jobId,
-              outputPath,
-              java.lang.Boolean.FALSE // dynamicPartitionOverwrite = false for now
-            )
+            .newInstance(jobId, outputPath, isDynamicOverWriteMode)
             .asInstanceOf[org.apache.spark.internal.io.FileCommitProtocol])
       } catch {
         case e: Exception =>
diff --git a/spark/src/test/scala/org/apache/comet/parquet/CometParquetWriterSuite.scala b/spark/src/test/scala/org/apache/comet/parquet/CometParquetWriterSuite.scala
index 3ae7f949ab..f1f5276aef 100644
--- a/spark/src/test/scala/org/apache/comet/parquet/CometParquetWriterSuite.scala
+++ b/spark/src/test/scala/org/apache/comet/parquet/CometParquetWriterSuite.scala
@@ -228,4 +228,32 @@ class CometParquetWriterSuite extends CometTestBase {
       }
     }
   }
+
+  test("parquet write with mode overwrite") {
+    withTempPath { dir =>
+      val outputPath = new File(dir, "output.parquet").getAbsolutePath
+
+      withTempPath { inputDir =>
+        val inputPath = createTestData(inputDir)
+
+        withSQLConf(
+          CometConf.COMET_NATIVE_PARQUET_WRITE_ENABLED.key -> "true",
+          SQLConf.SESSION_LOCAL_TIMEZONE.key -> "America/Halifax",
+          CometConf.getOperatorAllowIncompatConfigKey(classOf[DataWritingCommandExec]) -> "true",
+          CometConf.COMET_EXEC_ENABLED.key -> "true") {
+
+          val df = spark.read.parquet(inputPath)
+
+          // First write
+          df.repartition(2).write.parquet(outputPath)
+          //          verifyWrittenFile(outputPath)
+          // Second write (with overwrite mode and a different record count to make sure we are not reading the same data)
+          df.limit(500).repartition(2).write.mode("overwrite").parquet(outputPath)
+          //          // Verify the data was written
+          val resultDf = spark.read.parquet(outputPath)
+          assert(resultDf.count() == 500, "Expected 1000 rows after overwrite")
+        }
+      }
+    }
+  }
 }