diff --git a/pyiceberg/schema.py b/pyiceberg/schema.py
index 6333ace6e2..0da9677b50 100644
--- a/pyiceberg/schema.py
+++ b/pyiceberg/schema.py
@@ -1618,6 +1618,11 @@ def promote(file_type: IcebergType, read_type: IcebergType) -> IcebergType:
         raise ResolveError(f"Cannot promote {file_type} to {read_type}")
 
 
+@promote.register(UnknownType)
+def _(file_type: UnknownType, read_type: IcebergType) -> IcebergType:
+    return read_type  # Per V3 Spec, "Unknown" can be promoted to any type
+
+
 @promote.register(IntegerType)
 def _(file_type: IntegerType, read_type: IcebergType) -> IcebergType:
     if isinstance(read_type, LongType):
diff --git a/tests/io/test_pyarrow_visitor.py b/tests/io/test_pyarrow_visitor.py
index 9d5772d01c..0611c1ef21 100644
--- a/tests/io/test_pyarrow_visitor.py
+++ b/tests/io/test_pyarrow_visitor.py
@@ -34,6 +34,7 @@
 from pyiceberg.expressions.literals import literal
 from pyiceberg.io.pyarrow import (
     UnsupportedPyArrowTypeException,
+    _check_pyarrow_schema_compatible,
     _ConvertToArrowSchema,
     _ConvertToIceberg,
     _ConvertToIcebergWithoutIDs,
@@ -313,6 +314,28 @@ def test_pyarrow_dictionary_encoded_type_to_iceberg(value_type: pa.DataType, exp
     assert visit_pyarrow(pyarrow_dict, _ConvertToIceberg()) == expected_result
 
 
+def test_schema_check_null_column(table_schema_simple: Schema) -> None:
+    pyarrow_schema: pa.Schema = schema_to_pyarrow(table_schema_simple)
+    new_field = pyarrow_schema.field(0).with_type(pa.null())  # Make the optional string field null for testing
+    pyarrow_schema = pyarrow_schema.set(0, new_field)
+    assert pyarrow_schema.field(0).type == pa.null()
+    _check_pyarrow_schema_compatible(table_schema_simple, pyarrow_schema)
+
+
+def test_schema_conversion_null_column(table_schema_simple: Schema) -> None:
+    pyarrow_schema: pa.Schema = schema_to_pyarrow(table_schema_simple)
+    new_field = pyarrow_schema.field(2).with_type(pa.null())  # Make the optional boolean field null for testing
+    pyarrow_schema = pyarrow_schema.set(2, new_field)
+    assert pyarrow_schema.field(2).type == pa.null()
+    actual = str(pyarrow_to_schema(pyarrow_schema))
+    expected = """table {
+  1: foo: optional string
+  2: bar: required int
+  3: baz: optional unknown
+}"""
+    assert actual == expected
+
+
 def test_round_schema_conversion_simple(table_schema_simple: Schema) -> None:
     actual = str(pyarrow_to_schema(schema_to_pyarrow(table_schema_simple)))
     expected = """table {
diff --git a/tests/test_schema.py b/tests/test_schema.py
index 3ca74c4027..248ae9c97a 100644
--- a/tests/test_schema.py
+++ b/tests/test_schema.py
@@ -54,6 +54,7 @@
     TimestampType,
     TimestamptzType,
     TimeType,
+    UnknownType,
     UUIDType,
 )
 
@@ -74,6 +75,7 @@
     FixedType(16),
     FixedType(20),
     UUIDType(),
+    UnknownType(),
 ]
 
 
@@ -855,6 +857,8 @@ def should_promote(file_type: IcebergType, read_type: IcebergType) -> bool:
         return file_type.precision <= read_type.precision and file_type.scale == file_type.scale
     if isinstance(file_type, FixedType) and isinstance(read_type, UUIDType) and len(file_type) == 16:
         return True
+    if isinstance(file_type, UnknownType):
+        return True
     return False