diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/v2/state/StateDataSourceReadSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/v2/state/StateDataSourceReadSuite.scala
index 4a274d51b62c3..fca7d16012cee 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/v2/state/StateDataSourceReadSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/v2/state/StateDataSourceReadSuite.scala
@@ -17,6 +17,7 @@
 package org.apache.spark.sql.execution.datasources.v2.state
 
 import java.io.{File, FileWriter}
+import java.nio.ByteOrder
 
 import org.apache.hadoop.conf.Configuration
 import org.scalatest.Assertions
@@ -794,6 +795,11 @@ abstract class StateDataSourceReadSuite extends StateDataSourceTestBase with Ass
   }
 
   test("flatMapGroupsWithState, state ver 1") {
+    // Skip this test on big endian platforms because the timestampTimeoutAttribute of
+    // StateManagerImplV1 is declared as IntegerType instead of LongType which breaks
+    // serialization on big endian. This can't be fixed because it would be a breaking
+    // schema change.
+    assume(ByteOrder.nativeOrder().equals(ByteOrder.LITTLE_ENDIAN))
     testFlatMapGroupsWithState(1)
   }
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/FlatMapGroupsWithStateSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/FlatMapGroupsWithStateSuite.scala
index f1feb62b7622a..d785cc1a7f446 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/FlatMapGroupsWithStateSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/FlatMapGroupsWithStateSuite.scala
@@ -18,6 +18,7 @@
 package org.apache.spark.sql.streaming
 
 import java.io.File
+import java.nio.ByteOrder
 import java.sql.Timestamp
 
 import org.apache.commons.io.FileUtils
@@ -458,7 +459,17 @@ class FlatMapGroupsWithStateSuite extends StateStoreMetricsTest {
     checkAnswer(df, Seq(("a", 2), ("b", 1)).toDF())
   }
 
+  // Skip the v1 tests with timeout on big endian platforms because the
+  // timestampTimeoutAttribute of StateManagerImplV1 is declared as IntegerType instead
+  // of LongType which breaks serialization on big endian. This can't be fixed because it
+  // would be a breaking schema change.
+  def isStateFormatSupported(stateFormatVersion: Int): Boolean = {
+    stateFormatVersion != 1 || ByteOrder.nativeOrder().equals(ByteOrder.LITTLE_ENDIAN)
+  }
+
   testWithAllStateVersions("flatMapGroupsWithState - streaming with processing time timeout") {
+    assume(
+      isStateFormatSupported(sqlConf.getConf(SQLConf.FLATMAPGROUPSWITHSTATE_STATE_FORMAT_VERSION)))
     // Function to maintain the count as state and set the proc. time timeout delay of 10 seconds.
     // It returns the count if changed, or -1 if the state was removed by timeout.
     val stateFunc = (key: String, values: Iterator[String], state: GroupState[RunningCount]) => {
@@ -526,6 +537,8 @@ class FlatMapGroupsWithStateSuite extends StateStoreMetricsTest {
   }
 
   testWithAllStateVersions("flatMapGroupsWithState - streaming w/ event time timeout + watermark") {
+    assume(
+      isStateFormatSupported(sqlConf.getConf(SQLConf.FLATMAPGROUPSWITHSTATE_STATE_FORMAT_VERSION)))
     val inputData = MemoryStream[(String, Int)]
     val result =
       inputData.toDS()