diff --git a/python/python/lancedb/db.py b/python/python/lancedb/db.py
index fe967b303..bf6590f61 100644
--- a/python/python/lancedb/db.py
+++ b/python/python/lancedb/db.py
@@ -677,7 +677,7 @@ class DBConnection(EnforceOverrides):
         job_id = LOOP.run(
             self._conn.create_materialized_view(
                 name,
-                query,
+                query=query,
                 auto_refresh=auto_refresh,
                 with_no_data=with_no_data,
                 partition_by=partition_by,
@@ -741,7 +741,7 @@ class DBConnection(EnforceOverrides):
         instead of the default incremental refresh.
         """
         return LOOP.run(
-            self._conn.refresh_materialized_view(
+            self._conn._refresh_materialized_view(
                 name,
                 full=full,
                 src_version=src_version,
diff --git a/python/python/lancedb/table.py b/python/python/lancedb/table.py
index 62b84deff..b6bd6f370 100644
--- a/python/python/lancedb/table.py
+++ b/python/python/lancedb/table.py
@@ -3813,22 +3813,26 @@ class LanceTable(Table):
         max_workers: Optional[int] = None,
         batch_size: Optional[int] = None,
         priority: Optional[str] = None,
-    ) -> str:
+    ) -> "JobHandle":
         """Trigger recompute of computed columns (REFRESH COLUMN).
 
         The expression is resolved server-side from each column's stored
         binding; columns bound to the same struct-returning function
-        refresh together. Returns the refresh job id. Server-backed
-        feature (LanceDB Enterprise / Cloud).
+        refresh together. Returns a `JobHandle` to wait on, poll, or cancel
+        (``tbl.refresh_column("col").wait()``) -- mirrors
+        `MaterializedView.refresh()`. Server-backed feature (LanceDB
+        Enterprise / Cloud).
 
         num_workers / max_workers / batch_size / priority are per-refresh
         scheduling knobs (how to run THIS refresh) and override any default
         the function carries. `priority` is a Kueue tier
         (training | interactive | backfill).
         """
+        from .udf import JobHandle
+
         if isinstance(columns, str):
             columns = [columns]
-        return LOOP.run(
+        job_id = LOOP.run(
             self._table.refresh_column(
                 list(columns),
                 where=where,
@@ -3838,6 +3842,7 @@ class LanceTable(Table):
                 priority=priority,
             )
         )
+        return JobHandle(self._conn, job_id)
 
     def alter_columns(
         self, *alterations: Iterable[Dict[str, str]]