diff --git a/.github/workflows/python.yml b/.github/workflows/python.yml
index df6e712cfa..d710d8653b 100644
--- a/.github/workflows/python.yml
+++ b/.github/workflows/python.yml
@@ -218,14 +218,15 @@ jobs:
     - name: Set up Python
       uses: actions/setup-python@v5
       with:
-        python-version: "3.12"
+        python-version: "3.11" # TODO: upgrade when ray supports 3.12
     - uses: Swatinem/rust-cache@v2
       with:
         workspaces: python
         prefix-key: "manylinux2014"  # use this to flush the cache
     - uses: ./.github/workflows/build_linux_wheel
     - name: Install dependencies
-      run:
+      run: |
+        pip install ray[data]
         pip install torch --index-url https://download.pytorch.org/whl/cpu
     - uses: ./.github/workflows/run_integtests
     # Make sure wheels are not included in the Rust cache
diff --git a/python/python/lance/ray/sink.py b/python/python/lance/ray/sink.py
index ea6d7eab33..706b7a2a25 100644
--- a/python/python/lance/ray/sink.py
+++ b/python/python/lance/ray/sink.py
@@ -102,6 +102,7 @@ def __init__(
         uri: str,
         schema: Optional[pa.Schema] = None,
         mode: Literal["create", "append", "overwrite"] = "create",
+        storage_options: Optional[Dict[str, Any]] = None,
         *args,
         **kwargs,
     ):
@@ -112,6 +113,7 @@ def __init__(
         self.mode = mode
 
         self.read_version: int | None = None
+        self.storage_options = storage_options
 
     @property
     def supports_distributed_writes(self) -> bool:
@@ -119,7 +121,7 @@ def supports_distributed_writes(self) -> bool:
 
     def on_write_start(self):
         if self.mode == "append":
-            ds = lance.LanceDataset(self.uri)
+            ds = lance.LanceDataset(self.uri, storage_options=self.storage_options)
             self.read_version = ds.version
             if self.schema is None:
                 self.schema = ds.schema
@@ -139,7 +141,12 @@ def on_write_complete(
             op = lance.LanceOperation.Overwrite(schema, fragments)
         elif self.mode == "append":
             op = lance.LanceOperation.Append(fragments)
-        lance.LanceDataset.commit(self.uri, op, read_version=self.read_version)
+        lance.LanceDataset.commit(
+            self.uri,
+            op,
+            read_version=self.read_version,
+            storage_options=self.storage_options,
+        )
 
 
 class LanceDatasink(_BaseLanceDatasink):
@@ -163,6 +170,8 @@ class LanceDatasink(_BaseLanceDatasink):
         The maximum number of rows per file. Default is 1024 * 1024.
     use_legacy_format : bool, optional
         Set True to use the legacy v1 format. Default is False
+    storage_options : Dict[str, Any], optional
+        The storage options for the writer. Default is None.
     """
 
     NAME = "Lance"
@@ -174,10 +183,18 @@ def __init__(
         mode: Literal["create", "append", "overwrite"] = "create",
         max_rows_per_file: int = 1024 * 1024,
         use_legacy_format: bool = False,
+        storage_options: Optional[Dict[str, Any]] = None,
         *args,
         **kwargs,
     ):
-        super().__init__(uri, schema=schema, mode=mode, *args, **kwargs)
+        super().__init__(
+            uri,
+            schema=schema,
+            mode=mode,
+            storage_options=storage_options,
+            *args,
+            **kwargs,
+        )
 
         self.max_rows_per_file = max_rows_per_file
         self.use_legacy_format = use_legacy_format
@@ -206,6 +223,7 @@ def write(
             schema=self.schema,
             max_rows_per_file=self.max_rows_per_file,
             use_legacy_format=self.use_legacy_format,
+            storage_options=self.storage_options,
         )
         return [
             (pickle.dumps(fragment), pickle.dumps(schema))
@@ -360,7 +378,9 @@ def write_lance(
             storage_options=storage_options,
         ),
         batch_size=max_rows_per_file,
-    ).write_datasink(LanceCommitter(output_uri, schema=schema))
+    ).write_datasink(
+        LanceCommitter(output_uri, schema=schema, storage_options=storage_options)
+    )
 
 
 def _register_hooks():
diff --git a/python/python/tests/test_s3_ddb.py b/python/python/tests/test_s3_ddb.py
index 9191e084c5..b81003993f 100644
--- a/python/python/tests/test_s3_ddb.py
+++ b/python/python/tests/test_s3_ddb.py
@@ -1,7 +1,8 @@
 # SPDX-License-Identifier: Apache-2.0
 # SPDX-FileCopyrightText: Copyright The Lance Authors
 """
-Integration tests with S3 and DynamoDB.
+Integration tests with S3 and DynamoDB. Also used to test storage_options are
+passed correctly.
 
 See DEVELOPMENT.md under heading "Integration Tests" for more information.
 """
@@ -16,6 +17,8 @@
 import lance
 import pyarrow as pa
 import pytest
+from lance.dependencies import _RAY_AVAILABLE, ray
+from lance.fragment import write_fragments
 
 # These are all keys that are accepted by storage_options
 CONFIG = {
@@ -221,3 +224,42 @@ def test_s3_unsafe(s3_bucket: str):
     assert len(ds.versions()) == 1
     assert ds.count_rows() == 3
     assert ds.to_table() == data
+
+
+@pytest.mark.integration
+def test_s3_ddb_distributed_commit(s3_bucket: str, ddb_table: str):
+    table_name = uuid.uuid4().hex
+    table_dir = f"s3+ddb://{s3_bucket}/{table_name}?ddbTableName={ddb_table}"
+
+    schema = pa.schema([pa.field("a", pa.int64())])
+    fragments = write_fragments(
+        pa.table({"a": pa.array(range(1024))}),
+        f"s3+ddb://{s3_bucket}/distributed_commit?ddbTableName={ddb_table}",
+        storage_options=CONFIG,
+    )
+    operation = lance.LanceOperation.Overwrite(schema, fragments)
+    ds = lance.LanceDataset.commit(table_dir, operation, storage_options=CONFIG)
+    assert ds.count_rows() == 1024
+
+
+@pytest.mark.integration
+@pytest.mark.skipif(not _RAY_AVAILABLE, reason="ray is not available")
+def test_ray_committer(s3_bucket: str, ddb_table: str):
+    from lance.ray.sink import write_lance
+
+    table_name = uuid.uuid4().hex
+    table_dir = f"s3+ddb://{s3_bucket}/{table_name}?ddbTableName={ddb_table}"
+
+    schema = pa.schema([pa.field("id", pa.int64()), pa.field("str", pa.string())])
+
+    ds = ray.data.range(10).map(lambda x: {"id": x["id"], "str": f"str-{x['id']}"})
+    write_lance(ds, table_dir, schema=schema, storage_options=CONFIG)
+
+    ds = lance.dataset(table_dir, storage_options=CONFIG)
+    assert ds.count_rows() == 10
+    assert ds.schema == schema
+
+    tbl = ds.to_table()
+    assert sorted(tbl["id"].to_pylist()) == list(range(10))
+    assert set(tbl["str"].to_pylist()) == set([f"str-{i}" for i in range(10)])
+    assert len(ds.get_fragments()) == 1
diff --git a/python/src/dataset.rs b/python/src/dataset.rs
index 71f2e9d0a2..b8863c4c05 100644
--- a/python/src/dataset.rs
+++ b/python/src/dataset.rs
@@ -1066,10 +1066,13 @@ impl Dataset {
         commit_lock: Option<&PyAny>,
         storage_options: Option<HashMap<String, String>>,
     ) -> PyResult<Self> {
-        let object_store_params = storage_options.map(|storage_options| ObjectStoreParams {
-            storage_options: Some(storage_options),
-            ..Default::default()
-        });
+        let object_store_params =
+            storage_options
+                .as_ref()
+                .map(|storage_options| ObjectStoreParams {
+                    storage_options: Some(storage_options.clone()),
+                    ..Default::default()
+                });
 
         let commit_handler = commit_lock.map(|commit_lock| {
             Arc::new(PyCommitLock::new(commit_lock.to_object(commit_lock.py())))
@@ -1077,7 +1080,14 @@ impl Dataset {
         });
         let ds = RT
             .block_on(commit_lock.map(|cl| cl.py()), async move {
-                let dataset = match DatasetBuilder::from_uri(dataset_uri).load().await {
+                let mut builder = DatasetBuilder::from_uri(dataset_uri);
+                if let Some(storage_options) = storage_options {
+                    builder = builder.with_storage_options(storage_options);
+                }
+                if let Some(read_version) = read_version {
+                    builder = builder.with_version(read_version);
+                }
+                let dataset = match builder.load().await {
                     Ok(ds) => Some(ds),
                     Err(lance::Error::DatasetNotFound { .. }) => None,
                     Err(err) => return Err(err),