diff --git a/great_expectations/expectations/metrics/util.py b/great_expectations/expectations/metrics/util.py
index fb121471681a..65c0404ee3b0 100644
--- a/great_expectations/expectations/metrics/util.py
+++ b/great_expectations/expectations/metrics/util.py
@@ -19,11 +19,9 @@
     overload,
 )
 
+import great_expectations.exceptions as gx_exceptions
 import numpy as np
 from dateutil.parser import parse
-from packaging import version
-
-import great_expectations.exceptions as gx_exceptions
 from great_expectations.compatibility import aws, sqlalchemy, trino
 from great_expectations.compatibility.sqlalchemy import (
     sqlalchemy as sa,
@@ -40,6 +38,7 @@
     GXSqlDialect,
 )
 from great_expectations.execution_engine.util import check_sql_engine_dialect
+from packaging import version
 
 try:
     import psycopg2  # noqa: F401
@@ -76,9 +75,10 @@
 
 
 if TYPE_CHECKING:
-    import pandas as pd
     from typing_extensions import TypeAlias
 
+    import pandas as pd
+
 try:
     import teradatasqlalchemy.dialect
     import teradatasqlalchemy.types as teradatatypes
@@ -418,7 +418,10 @@ def get_sqlalchemy_column_metadata(  # noqa: C901
             # WARNING: Do not alter columns in place, as they are cached on the inspector
             columns_copy = [column.copy() for column in columns]
             for column in columns_copy:
-                column["type"] = column["type"].compile(dialect=execution_engine.dialect)
+                if column.get("type"):
+                    # When using column_reflection_fallback, we might not be able to
+                    # extract the column type, and only have the column name
+                    column["type"] = column["type"].compile(dialect=execution_engine.dialect)
             if dialect_name == GXSqlDialect.SNOWFLAKE:
                 return [
                     # TODO: SmartColumn should know the dialect and do lookups based on that