diff --git a/parquet/src/arrow/arrow_writer/mod.rs b/parquet/src/arrow/arrow_writer/mod.rs
index 2e170738f1a8..5fff1aaa794a 100644
--- a/parquet/src/arrow/arrow_writer/mod.rs
+++ b/parquet/src/arrow/arrow_writer/mod.rs
@@ -27,9 +27,11 @@ use std::vec::IntoIter;
 use thrift::protocol::{TCompactOutputProtocol, TSerializable};
 
 use arrow_array::cast::AsArray;
-use arrow_array::types::*;
+use arrow_array::{types::*, ArrayRef};
 use arrow_array::{Array, FixedSizeListArray, RecordBatch, RecordBatchWriter};
-use arrow_schema::{ArrowError, DataType as ArrowDataType, IntervalUnit, SchemaRef};
+use arrow_schema::{
+    ArrowError, DataType as ArrowDataType, Field, IntervalUnit, Schema, SchemaRef,
+};
 
 use super::schema::{
     add_encoded_arrow_schema_to_metadata, arrow_to_parquet_schema,
@@ -150,7 +152,7 @@ impl<W: Write + Send> ArrowWriter<W> {
             Some(in_progress) => in_progress
                 .writers
                 .iter()
-                .map(|(_, x)| x.get_estimated_total_bytes() as usize)
+                .map(|x| x.get_estimated_total_bytes() as usize)
                 .sum(),
             None => 0,
         }
@@ -299,7 +301,7 @@ impl Read for ArrowColumnChunkReader {
 
 /// A shared [`ArrowColumnChunk`]
 ///
-/// This allows it to be owned by [`ArrowPageWriter`] whilst allowing access via
+/// This allows it to be owned by lower level page writers whilst allowing access via
 /// [`ArrowRowGroupWriter`] on flush, without requiring self-referential borrows
 type SharedColumnChunk = Arc<Mutex<ArrowColumnChunk>>;
 
@@ -347,13 +349,22 @@ impl PageWriter for ArrowPageWriter {
     }
 }
 
-/// Encodes a leaf column to [`ArrowPageWriter`]
-enum ArrowColumnWriter {
+/// Serializes [ArrayRef]s to [ArrowColumnChunk]s which can be concatenated
+/// to form a parquet row group
+pub enum ArrowColumnWriter {
     ByteArray(GenericColumnWriter<'static, ByteArrayEncoder>),
     Column(ColumnWriter<'static>),
 }
 
 impl ArrowColumnWriter {
+    /// Serializes an [ArrayRef] to a [ArrowColumnChunk] for an in progress row group.
+    pub fn write(&mut self, array: ArrayRef, field: Arc<Field>) -> Result<()> {
+        let mut levels = calculate_array_levels(&array, &field)?.into_iter();
+        let mut writer_iter = std::iter::once(self);
+        write_leaves(&mut writer_iter, &mut levels, array.as_ref())?;
+        Ok(())
+    }
+
     /// Returns the estimated total bytes for this column writer
     fn get_estimated_total_bytes(&self) -> u64 {
         match self {
@@ -365,7 +376,8 @@ impl ArrowColumnWriter {
 
 /// Encodes [`RecordBatch`] to a parquet row group
 pub struct ArrowRowGroupWriter {
-    writers: Vec<(SharedColumnChunk, ArrowColumnWriter)>,
+    writers: Vec<ArrowColumnWriter>,
+    shared_buffers: Vec<SharedColumnChunk>,
     schema: SchemaRef,
     buffered_rows: usize,
 }
@@ -376,13 +388,21 @@ impl ArrowRowGroupWriter {
         props: &WriterPropertiesPtr,
         arrow: &SchemaRef,
     ) -> Result<Self> {
-        let mut writers = Vec::with_capacity(arrow.fields.len());
+        let mut writers_and_buffers = Vec::with_capacity(arrow.fields.len());
         let mut leaves = parquet.columns().iter();
         for field in &arrow.fields {
-            get_arrow_column_writer(field.data_type(), props, &mut leaves, &mut writers)?;
+            get_arrow_column_writer(
+                field.data_type(),
+                props,
+                &mut leaves,
+                &mut writers_and_buffers,
+            )?;
         }
+        let (shared_buffers, writers): (Vec<_>, Vec<_>) =
+            writers_and_buffers.into_iter().unzip();
         Ok(Self {
             writers,
+            shared_buffers,
             schema: arrow.clone(),
             buffered_rows: 0,
         })
@@ -390,7 +410,7 @@ impl ArrowRowGroupWriter {
 
     pub fn write(&mut self, batch: &RecordBatch) -> Result<()> {
         self.buffered_rows += batch.num_rows();
-        let mut writers = self.writers.iter_mut().map(|(_, x)| x);
+        let mut writers = self.writers.iter_mut();
         for (array, field) in batch.columns().iter().zip(&self.schema.fields) {
             let mut levels = calculate_array_levels(array, field)?.into_iter();
             write_leaves(&mut writers, &mut levels, array.as_ref())?;
@@ -398,9 +418,26 @@ impl ArrowRowGroupWriter {
         Ok(())
     }
 
+    pub fn schema(&self) -> &Arc<Schema> {
+        &self.schema
+    }
+
+    /// Takes ownership of all [ArrowColumnWriter]s from this [ArrowRowGroupWriter]
+    /// Caller must restore ownership with give_col_writers before calling close method.
+    pub fn take_col_writers(&mut self) -> Vec<ArrowColumnWriter> {
+        self.writers.drain(..).collect()
+    }
+
+    /// Restores ownership of all [ArrowColumnWriter]s. Caller is responsible for
+    /// returning the [Vec] in the same order returned by take_col_writers method.
+    pub fn give_col_writers(&mut self, writers: Vec<ArrowColumnWriter>) {
+        self.writers = writers;
+    }
+
     pub fn close(self) -> Result<Vec<(ArrowColumnChunk, ColumnCloseResult)>> {
-        self.writers
+        self.shared_buffers
             .into_iter()
+            .zip(self.writers)
             .map(|(chunk, writer)| {
                 let close_result = match writer {
                     ArrowColumnWriter::ByteArray(c) => c.close()?,