diff --git a/plugins/flytekit-polars/flytekitplugins/polars/sd_transformers.py b/plugins/flytekit-polars/flytekitplugins/polars/sd_transformers.py
index 0b5bf8e577..4290c88ae4 100644
--- a/plugins/flytekit-polars/flytekitplugins/polars/sd_transformers.py
+++ b/plugins/flytekit-polars/flytekitplugins/polars/sd_transformers.py
@@ -7,6 +7,7 @@
 from flytekit.models import literals
 from flytekit.models.literals import StructuredDatasetMetadata
 from flytekit.models.types import StructuredDatasetType
+from flytekit.types.structured.basic_dfs import get_storage_options
 from flytekit.types.structured.structured_dataset import (
     PARQUET,
     StructuredDataset,
@@ -62,12 +63,12 @@ def decode(
         flyte_value: literals.StructuredDataset,
         current_task_metadata: StructuredDatasetMetadata,
     ) -> pl.DataFrame:
-        local_dir = ctx.file_access.get_random_local_directory()
-        ctx.file_access.get_data(flyte_value.uri, local_dir, is_multipart=True)
+        uri = flyte_value.uri
+        kwargs = get_storage_options(ctx.file_access.data_config, uri)
         if current_task_metadata.structured_dataset_type and current_task_metadata.structured_dataset_type.columns:
             columns = [c.name for c in current_task_metadata.structured_dataset_type.columns]
-            return pl.read_parquet(local_dir, columns=columns, use_pyarrow=True)
-        return pl.read_parquet(local_dir, use_pyarrow=True)
+            return pl.read_parquet(uri, columns=columns, use_pyarrow=True, storage_options=kwargs)
+        return pl.read_parquet(uri, use_pyarrow=True, storage_options=kwargs)
 
 
 StructuredDatasetTransformerEngine.register(PolarsDataFrameToParquetEncodingHandler())
diff --git a/plugins/flytekit-polars/tests/test_polars_plugin_sd.py b/plugins/flytekit-polars/tests/test_polars_plugin_sd.py
index 15a195e5d5..23fbf6d441 100644
--- a/plugins/flytekit-polars/tests/test_polars_plugin_sd.py
+++ b/plugins/flytekit-polars/tests/test_polars_plugin_sd.py
@@ -1,3 +1,5 @@
+import tempfile
+
 import pandas as pd
 import polars as pl
 from flytekitplugins.polars.sd_transformers import PolarsDataFrameRenderer
@@ -79,3 +81,13 @@ def create_sd() -> StructuredDataset:
     sd = create_sd()
     polars_df = sd.open(pl.DataFrame).all()
     assert pl.DataFrame(data).frame_equal(polars_df)
+
+    tmp = tempfile.mktemp()
+    pl.DataFrame(data).write_parquet(tmp)
+
+    @task
+    def t1(sd: StructuredDataset) -> pl.DataFrame:
+        return sd.open(pd.DataFrame).all()
+
+    sd = StructuredDataset(uri=tmp)
+    t1(sd=sd).frame_equal(polars_df)