diff --git a/cpp/src/parquet/column_reader.cc b/cpp/src/parquet/column_reader.cc
index 8982de7032454..b8d3b767b00ff 100644
--- a/cpp/src/parquet/column_reader.cc
+++ b/cpp/src/parquet/column_reader.cc
@@ -804,8 +804,13 @@ class ColumnReaderImplBase {
           decoders_[static_cast<int>(encoding)] = std::move(decoder);
           break;
         }
-        case Encoding::DELTA_LENGTH_BYTE_ARRAY:
-          ParquetException::NYI("Unsupported encoding");
+        case Encoding::DELTA_LENGTH_BYTE_ARRAY: {
+          auto decoder =
+              MakeTypedDecoder<DType>(Encoding::DELTA_LENGTH_BYTE_ARRAY, descr_);
+          current_decoder_ = decoder.get();
+          decoders_[static_cast<int>(encoding)] = std::move(decoder);
+          break;
+        }
 
         default:
           throw ParquetException("Unknown encoding type.");
diff --git a/cpp/src/parquet/encoding.cc b/cpp/src/parquet/encoding.cc
index 083117c201949..5a0184b186038 100644
--- a/cpp/src/parquet/encoding.cc
+++ b/cpp/src/parquet/encoding.cc
@@ -2757,6 +2757,11 @@ std::unique_ptr<Decoder> MakeDecoder(Type::type type_num, Encoding::type encodin
       return std::unique_ptr<Decoder>(new DeltaByteArrayDecoder(descr));
     }
     throw ParquetException("DELTA_BYTE_ARRAY only supports BYTE_ARRAY");
+  } else if (encoding == Encoding::DELTA_LENGTH_BYTE_ARRAY) {
+    if (type_num == Type::BYTE_ARRAY) {
+      return std::unique_ptr<Decoder>(new DeltaLengthByteArrayDecoder(descr));
+    }
+    throw ParquetException("DELTA_LENGTH_BYTE_ARRAY only supports BYTE_ARRAY");
   } else {
     ParquetException::NYI("Selected encoding is not supported");
   }
diff --git a/cpp/src/parquet/reader_test.cc b/cpp/src/parquet/reader_test.cc
index 4b2db178f32b1..7776d995c023e 100644
--- a/cpp/src/parquet/reader_test.cc
+++ b/cpp/src/parquet/reader_test.cc
@@ -127,6 +127,90 @@ void CheckRowGroupMetadata(const RowGroupMetaData* rg_metadata,
   }
 }
 
+class TestTextDeltaLengthByteArray : public ::testing::Test {
+ public:
+  void SetUp() {
+    reader_ = ParquetFileReader::OpenFile(data_file("delta_length_byte_array.parquet"));
+  }
+
+  void TearDown() {}
+
+ protected:
+  std::unique_ptr<ParquetFileReader> reader_;
+};
+
+TEST_F(TestTextDeltaLengthByteArray, TestTextScanner) {
+  auto group = reader_->RowGroup(0);
+
+  // column 0, id
+  auto scanner = std::make_shared<ByteArrayScanner>(group->Column(0));
+  ByteArray val;
+  bool is_null;
+  std::string expected_prefix("apple_banana_mango");
+  for (int i = 0; i < 1000; ++i) {
+    ASSERT_TRUE(scanner->HasNext());
+    ASSERT_TRUE(scanner->NextValue(&val, &is_null));
+    ASSERT_FALSE(is_null);
+    std::string expected = expected_prefix + std::to_string(i * i);
+    ASSERT_TRUE(val.len == expected.length());
+    ASSERT_EQ(::arrow::util::string_view(reinterpret_cast<const char*>(val.ptr), val.len),
+              expected);
+  }
+  ASSERT_FALSE(scanner->HasNext());
+  ASSERT_FALSE(scanner->NextValue(&val, &is_null));
+}
+
+TEST_F(TestTextDeltaLengthByteArray, TestBatchRead) {
+  auto group = reader_->RowGroup(0);
+
+  // column 0, id
+  auto col = std::dynamic_pointer_cast<ByteArrayReader>(group->Column(0));
+
+  // This file only has 1000 rows
+  ASSERT_EQ(1000, reader_->metadata()->num_rows());
+  // This file only has 1 row group
+  ASSERT_EQ(1, reader_->metadata()->num_row_groups());
+  // Size of the metadata is 105 bytes
+  ASSERT_EQ(105, reader_->metadata()->size());
+  // This row group must have 1000 rows
+  ASSERT_EQ(1000, group->metadata()->num_rows());
+
+  // Check if the column is encoded with DELTA_LENGTH_BYTE_ARRAY
+  auto col_chunk = group->metadata()->ColumnChunk(0);
+
+  ASSERT_TRUE(std::find(col_chunk->encodings().begin(), col_chunk->encodings().end(),
+                        Encoding::DELTA_LENGTH_BYTE_ARRAY) !=
+              col_chunk->encodings().end());
+
+  ASSERT_TRUE(col->HasNext());
+  int64_t values_read = 0;
+  int64_t curr_batch_read;
+  std::string expected_prefix("apple_banana_mango");
+  while (values_read < 1000) {
+    const int16_t batch_size = 25;
+    int16_t def_levels[batch_size];
+    int16_t rep_levels[batch_size];
+    ByteArray values[batch_size];
+
+    auto levels_read =
+        col->ReadBatch(batch_size, def_levels, rep_levels, values, &curr_batch_read);
+    ASSERT_EQ(batch_size, levels_read);
+    ASSERT_EQ(batch_size, curr_batch_read);
+    for (int16_t i = 0; i < batch_size; i++) {
+      auto expected =
+          expected_prefix + std::to_string((i + values_read) * (i + values_read));
+      ASSERT_TRUE(values[i].len == expected.length());
+      ASSERT_EQ(::arrow::util::string_view(reinterpret_cast<const char*>(values[i].ptr),
+                                           values[i].len),
+                expected);
+    }
+    values_read += curr_batch_read;
+  }
+
+  // Now read past the end of the file
+  ASSERT_FALSE(col->HasNext());
+}
+
 class TestAllTypesPlain : public ::testing::Test {
  public:
   void SetUp() { reader_ = ParquetFileReader::OpenFile(alltypes_plain()); }
diff --git a/cpp/submodules/parquet-testing b/cpp/submodules/parquet-testing
index acd375eb86a81..b76cde43bad62 160000
--- a/cpp/submodules/parquet-testing
+++ b/cpp/submodules/parquet-testing
@@ -1 +1 @@
-Subproject commit acd375eb86a81cd856476fca0f52ba6036a067ff
+Subproject commit b76cde43bad62ebf531ae3736d7a59cf645d3a6f