diff --git a/parquet/pqarrow/encode_arrow_test.go b/parquet/pqarrow/encode_arrow_test.go
index b60a960c..10ff5074 100644
--- a/parquet/pqarrow/encode_arrow_test.go
+++ b/parquet/pqarrow/encode_arrow_test.go
@@ -19,6 +19,7 @@ package pqarrow_test
 import (
 	"bytes"
 	"context"
+	"encoding/base64"
 	"encoding/binary"
 	"fmt"
 	"math"
@@ -1532,9 +1533,9 @@ func makeListArray(values arrow.Array, size, nullcount int) arrow.Array {
 	nullBitmap := make([]byte, int(bitutil.BytesForBits(int64(size))))
 
 	curOffset := 0
-	for i := 0; i < size; i++ {
+	for i := range size {
 		offsetsArr[i] = int32(curOffset)
-		if !(((i % 2) == 0) && ((i / 2) < nullcount)) {
+		if i%2 != 0 || i/2 >= nullcount {
 			// non-null list (list with index 1 is always empty)
 			bitutil.SetBit(nullBitmap, i)
 			if i != 1 {
@@ -2108,6 +2109,105 @@ func (ps *ParquetIOTestSuite) TestStructWithListOfNestedStructs() {
 	ps.roundTripTable(mem, expected, false)
 }
 
+// TestListOfStructWithEmptyListStoreSchema tests that ARROW:schema metadata stored
+// in a Parquet file uses "element" (not "item") as the list element field name, to
+// match the actual Parquet column paths. This is required for compatibility with
+// readers like Snowflake that resolve columns by matching ARROW:schema field names
+// to Parquet column path segments. See https://github.com/apache/arrow-go/issues/744.
+func TestListOfStructWithEmptyListStoreSchema(t *testing.T) {
+	mem := memory.NewCheckedAllocator(memory.DefaultAllocator)
+	defer mem.AssertSize(t, 0)
+
+	opsStruct := arrow.StructOf(
+		arrow.Field{Name: "id", Type: arrow.BinaryTypes.String, Nullable: false},
+		arrow.Field{Name: "token", Type: arrow.BinaryTypes.String, Nullable: true},
+		arrow.Field{Name: "amount", Type: arrow.BinaryTypes.String, Nullable: true},
+	)
+	// arrow.ListOf uses "item" as the element field name, which would mismatch
+	// the Parquet column path that uses "element". The fix ensures the stored
+	// ARROW:schema uses "element" to stay consistent with the Parquet columns.
+	schema := arrow.NewSchema([]arrow.Field{
+		{Name: "block_num", Type: arrow.PrimitiveTypes.Uint64, Nullable: false},
+		{Name: "tx_id", Type: arrow.BinaryTypes.String, Nullable: false},
+		{Name: "ops", Type: arrow.ListOf(opsStruct), Nullable: true},
+	}, nil)
+
+	b := array.NewRecordBuilder(mem, schema)
+	defer b.Release()
+
+	b.Field(0).(*array.Uint64Builder).AppendValues([]uint64{100, 101, 102}, nil)
+	b.Field(1).(*array.StringBuilder).AppendValues([]string{"tx-a", "tx-b", "tx-c"}, nil)
+
+	lb := b.Field(2).(*array.ListBuilder)
+	sb := lb.ValueBuilder().(*array.StructBuilder)
+	idb := sb.FieldBuilder(0).(*array.StringBuilder)
+	tokb := sb.FieldBuilder(1).(*array.StringBuilder)
+	amtb := sb.FieldBuilder(2).(*array.StringBuilder)
+
+	lb.Append(true)
+	sb.Append(true)
+	idb.Append("op-1")
+	tokb.Append("USDC")
+	amtb.Append("10")
+	sb.Append(true)
+	idb.Append("op-2")
+	tokb.Append("ETH")
+	amtb.Append("1.5")
+	lb.Append(true) // empty list
+	lb.Append(true)
+	sb.Append(true)
+	idb.Append("op-3")
+	tokb.AppendNull()
+	amtb.Append("42")
+
+	rec := b.NewRecordBatch()
+	defer rec.Release()
+
+	var buf bytes.Buffer
+	props := parquet.NewWriterProperties(parquet.WithDictionaryDefault(true), parquet.WithStats(true))
+	arrowProps := pqarrow.NewArrowWriterProperties(pqarrow.WithStoreSchema())
+
+	pw, err := pqarrow.NewFileWriter(schema, &buf, props, arrowProps)
+	require.NoError(t, err)
+	require.NoError(t, pw.Write(rec))
+	require.NoError(t, pw.Close())
+
+	// Verify round-trip data is correct.
+	pf, err := file.NewParquetReader(bytes.NewReader(buf.Bytes()))
+	require.NoError(t, err)
+	defer pf.Close()
+
+	fr, err := pqarrow.NewFileReader(pf, pqarrow.ArrowReadProperties{}, mem)
+	require.NoError(t, err)
+
+	tbl, err := fr.ReadTable(context.Background())
+	require.NoError(t, err)
+	defer tbl.Release()
+
+	require.EqualValues(t, 3, tbl.NumRows())
+
+	// Verify the stored ARROW:schema uses "element" as the list element field name
+	// (consistent with the Parquet column path "ops.list.element.*"), not "item"
+	// (the default Arrow field name from arrow.ListOf()).
+	arrowSchemaEncoded := pf.MetaData().KeyValueMetadata().FindValue("ARROW:schema")
+	require.NotNil(t, arrowSchemaEncoded, "ARROW:schema metadata key must be present")
+	decoded, err := base64.StdEncoding.DecodeString(*arrowSchemaEncoded)
+	require.NoError(t, err)
+	// DeserializeSchema wraps bytes in an IPC stream; use ipc.NewReader to decode.
+	ipcRdr, err := ipc.NewReader(bytes.NewReader(decoded), ipc.WithAllocator(mem))
+	require.NoError(t, err)
+	defer ipcRdr.Release()
+	storedSchema := ipcRdr.Schema()
+
+	opsField, ok := storedSchema.FieldsByName("ops")
+	require.True(t, ok)
+	opsListType, ok := opsField[0].Type.(*arrow.ListType)
+	require.True(t, ok)
+	// Must be "element" (matching Parquet column path) not "item" (Arrow default).
+	assert.Equal(t, "element", opsListType.ElemField().Name,
+		"ARROW:schema element name must match the Parquet column path segment")
+}
+
 func TestParquetArrowIO(t *testing.T) {
 	suite.Run(t, new(ParquetIOTestSuite))
 }
diff --git a/parquet/pqarrow/file_writer.go b/parquet/pqarrow/file_writer.go
index 6c305c59..ed401696 100644
--- a/parquet/pqarrow/file_writer.go
+++ b/parquet/pqarrow/file_writer.go
@@ -33,6 +33,48 @@ import (
 	"golang.org/x/xerrors"
 )
 
+// normalizeFieldForParquet recursively normalizes an Arrow field so that its
+// type matches the Parquet column structure that fieldToNode would produce.
+// Specifically, list element field names are set to "element" because
+// ListOfWithName (used by fieldToNode) always names the Parquet element group
+// "element", regardless of the original Arrow element field name.
+func normalizeFieldForParquet(f arrow.Field) arrow.Field {
+	switch dt := f.Type.(type) {
+	case *arrow.ListType:
+		elem := normalizeFieldForParquet(dt.ElemField())
+		elem.Name = "element"
+		return arrow.Field{Name: f.Name, Type: arrow.ListOfField(elem), Nullable: f.Nullable, Metadata: f.Metadata}
+	case *arrow.FixedSizeListType:
+		elem := normalizeFieldForParquet(dt.ElemField())
+		elem.Name = "element"
+		return arrow.Field{Name: f.Name, Type: arrow.FixedSizeListOfField(dt.Len(), elem), Nullable: f.Nullable, Metadata: f.Metadata}
+	case *arrow.StructType:
+		fields := make([]arrow.Field, dt.NumFields())
+		for i := 0; i < dt.NumFields(); i++ {
+			fields[i] = normalizeFieldForParquet(dt.Field(i))
+		}
+		return arrow.Field{Name: f.Name, Type: arrow.StructOf(fields...), Nullable: f.Nullable, Metadata: f.Metadata}
+	case *arrow.MapType:
+		key := normalizeFieldForParquet(dt.KeyField())
+		item := normalizeFieldForParquet(dt.ItemField())
+		return arrow.Field{Name: f.Name, Type: arrow.MapOfFields(key, item), Nullable: f.Nullable, Metadata: f.Metadata}
+	}
+	return f
+}
+
+// normalizeSchemaForParquet returns a copy of the Arrow schema with list element
+// field names updated to "element" to match the Parquet column paths produced by
+// fieldToNode. This is used when storing the ARROW:schema metadata to ensure
+// consistency between the stored schema and the actual Parquet column structure.
+func normalizeSchemaForParquet(sc *arrow.Schema) *arrow.Schema {
+	fields := make([]arrow.Field, sc.NumFields())
+	for i, f := range sc.Fields() {
+		fields[i] = normalizeFieldForParquet(f)
+	}
+	meta := sc.Metadata()
+	return arrow.NewSchema(fields, &meta)
+}
+
 // WriteTable is a convenience function to create and write a full array.Table to a parquet file. The schema
 // and columns will be determined by the schema of the table, writing the file out to the provided writer.
 // The chunksize will be utilized in order to determine the size of the row groups.
@@ -80,7 +122,14 @@ func NewFileWriter(arrschema *arrow.Schema, w io.Writer, props *parquet.WriterPr
 	}
 
 	if arrprops.storeSchema {
-		serializedSchema := flight.SerializeSchema(arrschema, props.Allocator())
+		// Normalize the Arrow schema so that list element field names match the
+		// Parquet column group names. fieldToNode always uses "element" as the
+		// Parquet group name for list element fields (via ListOfWithName), but
+		// arrow.ListOf() uses "item" as the Arrow element field name. This
+		// inconsistency causes readers (e.g. Snowflake) that map ARROW:schema field
+		// names to Parquet column paths to fail to locate the correct columns.
+		schemaToStore := normalizeSchemaForParquet(arrschema)
+		serializedSchema := flight.SerializeSchema(schemaToStore, props.Allocator())
 		meta.Append("ARROW:schema", base64.StdEncoding.EncodeToString(serializedSchema))
 	}
 
diff --git a/parquet/pqarrow/schema.go b/parquet/pqarrow/schema.go
index aac64825..1167b5a5 100644
--- a/parquet/pqarrow/schema.go
+++ b/parquet/pqarrow/schema.go
@@ -722,7 +722,7 @@ func listToSchemaField(n *schema.GroupNode, currentLevels file.LevelInfo, ctx *s
 		//   If the name is array or ends in _tuple, this should be a list of struct
 		//   even for single child elements.
 		listGroup := listNode.(*schema.GroupNode)
-		if listGroup.NumFields() == 1 && !(listGroup.Name() == "array" || listGroup.Name() == (n.Name()+"_tuple")) {
+		if listGroup.NumFields() == 1 && (listGroup.Name() != "array" && listGroup.Name() != n.Name()+"_tuple") {
 			// list of primitive type
 			if err := nodeToSchemaField(listGroup.Field(0), currentLevels, ctx, out, &out.Children[0]); err != nil {
 				return err
diff --git a/parquet/schema/node.go b/parquet/schema/node.go
index 10bd9b09..e239aa5e 100644
--- a/parquet/schema/node.go
+++ b/parquet/schema/node.go
@@ -172,7 +172,7 @@ func NewPrimitiveNodeLogical(name string, repetition parquet.Repetition, logical
 		n.convertedType, n.decimalMetaData = n.logicalType.ToConvertedType()
 	}
 
-	if !(n.logicalType != nil && !n.logicalType.IsNested() && n.logicalType.IsCompatible(n.convertedType, n.decimalMetaData)) {
+	if n.logicalType == nil || n.logicalType.IsNested() || !n.logicalType.IsCompatible(n.convertedType, n.decimalMetaData) {
 		return nil, fmt.Errorf("invalid logical type %s", n.logicalType)
 	}