diff --git a/api/py/ai/chronon/workflow/README.md b/api/py/ai/chronon/workflow/README.md
new file mode 100644
index 000000000..102afd36e
--- /dev/null
+++ b/api/py/ai/chronon/workflow/README.md
@@ -0,0 +1,63 @@
+# Orchestrators for Batch flows
+## Airflow operator
+```python
+from airflow import DAG
+from datetime import datetime
+from ai.chronon.workflow.spark_submit import ChrononSparkSubmitOperator
+from ai.chronon.repo.types import GroupBy, Aggregation, Operation, Window, TimeUnit
+
+default_args = {
+"owner": "airflow",
+"start_date": datetime(2025, 2, 16),
+"retries": 1
+}
+
+dag = DAG("chronon_spark_job", default_args=default_args, schedule_interval="@daily")
+
+# Define a Chronon Thrift GroupBy object
+group_by_job = GroupBy(
+    sources=["datasetA"],
+    keys=["user_id"],
+    aggregations=[
+        Aggregation(input_column="purchase_amount", operation=Operation.SUM),
+        Aggregation(input_column="purchase_amount", operation=Operation.LAST, windows=[Window(7, TimeUnit.DAYS)])
+    ],
+    online=True
+)
+
+chronon_task = ChrononSparkSubmitOperator(
+    task_id="chronon_spark_submit",
+    thrift_obj=group_by_job,
+    application='ai.chronon:spark_uber_2.12:0.0.8',
+    conf={
+        'spark.jars.packages': 'ai.chronon:spark_uber_2.12:0.0.8'  # Ensure this package is available
+    },
+    dag=dag
+)
+```
+
+## Dagster pipeline
+```python
+from dagster import Definitions
+from ai.chronon.api.ttypes import GroupBy, Aggregation, Operation, Window, TimeUnit
+from ai.chronon.workflow.spark_asset import chronon_spark_job
+
+# Define a Chronon Thrift GroupBy object
+group_by_job = GroupBy(
+    sources=["datasetA"],
+    keys=["user_id"],
+    aggregations=[
+        Aggregation(input_column="purchase_amount", operation=Operation.SUM),
+        Aggregation(input_column="purchase_amount", operation=Operation.LAST, windows=[Window(7, TimeUnit.DAYS)])
+    ],
+    online=True
+)
+
+defs = Definitions(
+    assets=[chronon_spark_job],
+    resources={
+        "thrift_obj": group_by_job
+    }
+)
+
+```
diff --git a/api/py/ai/chronon/workflow/spark_asset.py b/api/py/ai/chronon/workflow/spark_asset.py
new file mode 100644
index 000000000..75aa057ae
--- /dev/null
+++ b/api/py/ai/chronon/workflow/spark_asset.py
@@ -0,0 +1,53 @@
+from dagster import asset, AssetExecutionContext
+from dagster_spark import SparkSubmitTaskDefinition
+from thrift.protocol import TJSONProtocol
+from thrift.transport import TTransport
+from ai.chronon.repo.validator import Validator
+
+def serialize_thrift_to_json(thrift_obj):
+    """
+    Serializes a Thrift object to JSON for Spark.
+    """
+    transport = TTransport.TMemoryBuffer()
+    protocol = TJSONProtocol.TJSONProtocol(transport)
+    thrift_obj.write(protocol)
+    return transport.getvalue().decode("utf-8")
+
+def validate_thrift_obj(thrift_obj):
+    """
+    Validates the Chronon Thrift object using Chronon's Validator.
+    """
+    validator = Validator()
+    errors = validator.validate(thrift_obj)
+    if errors:
+        raise ValueError(f"Chronon config validation failed: {errors}")
+
+@asset
+def chronon_spark_job(context: AssetExecutionContext, thrift_obj):
+    """
+    Dagster asset that:
+    - Validates a Chronon Thrift object.
+    - Serializes it to JSON.
+    - Submits a Spark job using SparkSubmitTaskDefinition.
+    """
+
+    # Step 1: Validate
+    context.log.info("Validating Chronon Thrift object...")
+    validate_thrift_obj(thrift_obj)
+
+    # Step 2: Serialize to JSON
+    context.log.info("Serializing Thrift object to JSON...")
+    serialized_json = serialize_thrift_to_json(thrift_obj)
+
+    # Step 3: Submit Spark job
+    context.log.info("Submitting Spark job...")
+    spark_task = SparkSubmitTaskDefinition(
+        name="chronon_spark_submit",
+        application="ai.chronon:spark_uber_2.12:0.0.8",
+        application_args=[serialized_json],
+        spark_conf={
+            "spark.jars.packages": "ai.chronon:spark_uber_2.12:0.0.8",
+        }
+    )
+
+    return spark_task.execute(context)
diff --git a/api/py/ai/chronon/workflow/spark_submit.py b/api/py/ai/chronon/workflow/spark_submit.py
new file mode 100644
index 000000000..859167b89
--- /dev/null
+++ b/api/py/ai/chronon/workflow/spark_submit.py
@@ -0,0 +1,58 @@
+from airflow.providers.apache.spark.operators.spark_submit import SparkSubmitOperator
+from ai.chronon.repo.validator import Validator
+from thrift.protocol import TJSONProtocol
+from thrift.transport import TTransport
+
+
+class ChrononSparkSubmitOperator(SparkSubmitOperator):
+    """
+    Custom SparkSubmitOperator for Chronon that:
+    - Validates Chronon job configuration.
+    - Serializes the input Thrift object to JSON.
+    - Submits the Spark job.
+    """
+
+    def __init__(self, thrift_obj, *args, **kwargs):
+        """
+        :param thrift_obj: A Chronon Thrift object (e.g., GroupBy, Join, Staging).
+        """
+        self.thrift_obj = thrift_obj
+        super().__init__(*args, **kwargs)
+
+    def validate_config(self):
+        """
+        Validates the Chronon Thrift object using Chronon's Validator.
+        """
+        validator = Validator()
+        errors = validator.validate(self.thrift_obj)
+
+        if errors:
+            raise ValueError(f"Chronon config validation failed: {errors}")
+
+    def serialize_to_json(self):
+        """
+        Serializes the Chronon Thrift object to JSON for Spark.
+        """
+        transport = TTransport.TMemoryBuffer()
+        protocol = TJSONProtocol.TJSONProtocol(transport)
+        self.thrift_obj.write(protocol)
+        return transport.getvalue().decode("utf-8")
+
+    def execute(self, context):
+        """
+        Overrides SparkSubmitOperator execute method:
+        1. Validate the Thrift object.
+        2. Serialize it to JSON.
+        3. Pass JSON to SparkSubmitOperator.
+        """
+        self.log.info("Validating Chronon Thrift object...")
+        self.validate_config()
+
+        self.log.info("Serializing Thrift object to JSON...")
+        serialized_json = self.serialize_to_json()
+
+        # Pass serialized JSON as an argument to the Spark job
+        self._application_args = [serialized_json]
+
+        self.log.info("Submitting Spark job with Chronon config...")
+        super().execute(context)