diff --git a/python/src/main/python/job-builder-util-transforms/provider_listing_template.yaml b/python/src/main/python/job-builder-util-transforms/provider_listing_template.yaml
index 51facf606d..4f8042d3da 100644
--- a/python/src/main/python/job-builder-util-transforms/provider_listing_template.yaml
+++ b/python/src/main/python/job-builder-util-transforms/provider_listing_template.yaml
@@ -3,4 +3,5 @@
     packages:
       - https://storage.googleapis.com/<package_path>
   transforms:
-    CopyFilesToGCS: "copy_files_to_gcs.CopyFilesToGCS"
\ No newline at end of file
+    CopyFilesToGCS: "copy_files_to_gcs.CopyFilesToGCS"
+    ReadFromDeltaLake: "read_from_delta_lake.ReadFromDeltaLake"
\ No newline at end of file
diff --git a/python/src/main/python/job-builder-util-transforms/pyproject.toml b/python/src/main/python/job-builder-util-transforms/pyproject.toml
index 5080add849..48ee860e6f 100644
--- a/python/src/main/python/job-builder-util-transforms/pyproject.toml
+++ b/python/src/main/python/job-builder-util-transforms/pyproject.toml
@@ -5,6 +5,7 @@ description = "Utility transforms for job builder"
 authors = ["Google Cloud Platform"]
 packages = [
     { include = "copy_files_to_gcs.py" },
+    { include = "read_from_delta_lake.py" },
 ]
 
 [tool.poetry.dependencies]
diff --git a/python/src/main/python/job-builder-util-transforms/read_from_delta_lake.py b/python/src/main/python/job-builder-util-transforms/read_from_delta_lake.py
new file mode 100644
index 0000000000..d22ca896de
--- /dev/null
+++ b/python/src/main/python/job-builder-util-transforms/read_from_delta_lake.py
@@ -0,0 +1,62 @@
+"""Module containing transforms to read data from Delta Lake tables."""
+
+from typing import Mapping, Optional
+from apache_beam.transforms import PTransform
+from apache_beam.transforms import managed
+from apache_beam.transforms.external import BeamJarExpansionService
+from apache_beam.transforms.external import SchemaAwareExternalTransform
+
+DELTA_LAKE_READ_URN = "beam:schematransform:org.apache.beam:delta_lake_read:v1"
+
+
+class ReadFromDeltaLake(PTransform):
+  """A PTransform that reads data from a Delta Lake table.
+
+  Args:
+    table: Identifier or path of the Delta Lake table.
+    version: Version of the Delta Lake table to read.
+    timestamp: Timestamp of the Delta Lake table to read.
+    hadoop_config: Properties passed to Hadoop Configuration.
+  """
+
+  def __init__(
+      self,
+      table: str,
+      version: Optional[int] = None,
+      timestamp: Optional[str] = None,
+      hadoop_config: Optional[Mapping[str, str]] = None,
+  ):
+    super().__init__()
+    self.table = table
+    self.version = version
+    self.timestamp = timestamp
+    self.hadoop_config = hadoop_config
+
+
+  def expand(self, pbegin):
+    """Expands the ReadFromDeltaLake transform."""
+    config = {
+        'table': self.table,
+    }
+    if self.version is not None:
+      config['version'] = self.version
+    if self.timestamp is not None:
+      config['timestamp'] = self.timestamp
+    if self.hadoop_config is not None:
+      config['hadoop_config'] = dict(self.hadoop_config)
+
+    delta_source = getattr(managed, 'DELTA', 'delta')
+    if hasattr(managed, 'Read') and delta_source in getattr(
+        managed.Read, '_READ_TRANSFORMS', {}
+    ):
+      return pbegin | managed.Read(delta_source, config=config)
+    else:
+      return pbegin | SchemaAwareExternalTransform(
+          identifier=DELTA_LAKE_READ_URN,
+          expansion_service=BeamJarExpansionService(
+              'sdks:java:io:expansion-service:shadowJar'
+          ),
+          **config,
+      )
+
+
diff --git a/python/src/test/python/job-builder-util-transforms/read_from_delta_lake_test.py b/python/src/test/python/job-builder-util-transforms/read_from_delta_lake_test.py
new file mode 100644
index 0000000000..cd30f675d0
--- /dev/null
+++ b/python/src/test/python/job-builder-util-transforms/read_from_delta_lake_test.py
@@ -0,0 +1,120 @@
+import os
+import tempfile
+import unittest
+from unittest.mock import ANY, MagicMock, patch
+import apache_beam as beam
+from apache_beam.testing.test_pipeline import TestPipeline
+from apache_beam.testing.util import assert_that, equal_to
+from apache_beam.transforms import managed
+import pyarrow as pa
+import pyarrow.parquet as pq
+from read_from_delta_lake import DELTA_LAKE_READ_URN, ReadFromDeltaLake
+
+
+class ReadFromDeltaLakeTest(unittest.TestCase):
+
+  @patch('read_from_delta_lake.SchemaAwareExternalTransform')
+  @patch.object(managed, 'DELTA', 'delta', create=True)
+  @patch('read_from_delta_lake.managed.Read')
+  def test_read_from_delta_lake_managed_read(self, mock_managed_read, mock_saet):
+    mock_managed_read._READ_TRANSFORMS = {'delta': DELTA_LAKE_READ_URN}
+    mock_transform = MagicMock()
+    mock_managed_read.return_value = mock_transform
+
+
+    table = 'gs://bucket/delta_table'
+    version = 2
+    timestamp = '2026-05-01T12:00:00Z'
+    hadoop_config = {'fs.gs.project.id': 'test-project'}
+
+    transform = ReadFromDeltaLake(
+        table=table,
+        version=version,
+        timestamp=timestamp,
+        hadoop_config=hadoop_config,
+    )
+
+    pbegin = MagicMock()
+    transform.expand(pbegin)
+
+    mock_managed_read.assert_called_once_with(
+        'delta',
+        config={
+            'table': table,
+            'version': version,
+            'timestamp': timestamp,
+            'hadoop_config': hadoop_config,
+        },
+    )
+
+
+  @patch('read_from_delta_lake.SchemaAwareExternalTransform')
+  @patch('read_from_delta_lake.managed.Read')
+  def test_read_from_delta_lake_fallback(self, mock_managed_read, mock_saet):
+    mock_managed_read._READ_TRANSFORMS = {}
+    mock_transform = MagicMock()
+    mock_saet.return_value = mock_transform
+
+    table = '/path/to/table'
+    hadoop_config = {'fs.gs.project.id': 'test-project'}
+
+    transform = ReadFromDeltaLake(
+        table=table,
+        hadoop_config=hadoop_config,
+    )
+
+    pbegin = MagicMock()
+    transform.expand(pbegin)
+
+    mock_saet.assert_called_once_with(
+        identifier=DELTA_LAKE_READ_URN,
+        expansion_service=ANY,
+        table=table,
+        hadoop_config=hadoop_config,
+    )
+
+  def test_read_from_delta_lake_local_integration(self):
+    with tempfile.TemporaryDirectory() as temp_dir:
+      table_dir = os.path.join(temp_dir, 'delta-table')
+      os.makedirs(table_dir)
+
+      # create parquet file
+      parquet_file_path = os.path.join(table_dir, 'part-00000.parquet')
+      table = pa.table({'name': ['test-name-1', 'test-name-2']})
+      pq.write_table(table, parquet_file_path)
+
+      file_size = os.path.getsize(parquet_file_path)
+
+      log_dir = os.path.join(table_dir, '_delta_log')
+      os.makedirs(log_dir)
+
+      commit_content = (
+          '{"protocol":{"minReaderVersion":1,"minWriterVersion":2}}\n'
+          '{"metaData":{"id":"test-id","format":{"provider":"parquet","options":{}},'
+          '"schemaString":"{\\"type\\":\\"struct\\",\\"fields\\":[{\\"name\\":\\"name\\",\\'
+          '"type\\":\\"string\\",\\"nullable\\":true,\\"metadata\\":{}}]}",'
+          '"partitionColumns":[],"configuration":{},"createdAt":123456789}}\n'
+          f'{{"add":{{"path":"part-00000.parquet","partitionValues":{{}},"size":{file_size},'
+          '"modificationTime":123456789,"dataChange":true}}\n'
+      )
+
+      # create delta log
+      with open(os.path.join(log_dir, '00000000000000000000.json'), 'w') as f:
+        f.write(commit_content)
+
+      with TestPipeline() as p:
+        output = (
+            p
+            | ReadFromDeltaLake(table=table_dir)
+            | beam.Map(lambda row: row._asdict())
+        )
+
+        expected = [{'name': 'test-name-1'}, {'name': 'test-name-2'}]
+        assert_that(output, equal_to(expected))
+
+
+
+if __name__ == '__main__':
+  unittest.main()
+
+