diff --git a/sdk/python/feast/feature_logging.py b/sdk/python/feast/feature_logging.py
index 70fab930bb..e298298836 100644
--- a/sdk/python/feast/feature_logging.py
+++ b/sdk/python/feast/feature_logging.py
@@ -52,17 +52,11 @@ def get_schema(self, registry: "Registry") -> pa.Schema:
         fields: Dict[str, pa.DataType] = {}
 
         for projection in self._feature_service.feature_view_projections:
-            for feature in projection.features:
-                fields[
-                    f"{projection.name_to_use()}__{feature.name}"
-                ] = FEAST_TYPE_TO_ARROW_TYPE[feature.dtype]
-                fields[
-                    f"{projection.name_to_use()}__{feature.name}__timestamp"
-                ] = PA_TIMESTAMP_TYPE
-                fields[
-                    f"{projection.name_to_use()}__{feature.name}__status"
-                ] = pa.int32()
-
+            # The order of fields in the generated schema should match
+            # the order created on the other side (inside Go logger).
+            # Otherwise, some offline stores might not accept parquet files (produced by Go).
+            # Go code can be found here:
+            # https://github.com/feast-dev/feast/blob/master/go/internal/feast/server/logging/memorybuffer.go#L51
             try:
                 feature_view = registry.get_feature_view(projection.name, self._project)
             except FeatureViewNotFoundException:
@@ -91,9 +85,21 @@ def get_schema(self, registry: "Registry") -> pa.Schema:
                         from_value_type(entity.value_type)
                     ]
 
+            for feature in projection.features:
+                fields[
+                    f"{projection.name_to_use()}__{feature.name}"
+                ] = FEAST_TYPE_TO_ARROW_TYPE[feature.dtype]
+                fields[
+                    f"{projection.name_to_use()}__{feature.name}__timestamp"
+                ] = PA_TIMESTAMP_TYPE
+                fields[
+                    f"{projection.name_to_use()}__{feature.name}__status"
+                ] = pa.int32()
+
         # system columns
-        fields[REQUEST_ID_FIELD] = pa.string()
         fields[LOG_TIMESTAMP_FIELD] = pa.timestamp("us", tz=UTC)
+        fields[LOG_DATE_FIELD] = pa.date32()
+        fields[REQUEST_ID_FIELD] = pa.string()
 
         return pa.schema(
             [pa.field(name, data_type) for name, data_type in fields.items()]