diff --git a/ingestion/src/metadata/data_quality/validations/column/sqlalchemy/columnValuesToBeUnique.py b/ingestion/src/metadata/data_quality/validations/column/sqlalchemy/columnValuesToBeUnique.py
index 583590928d9..4f5080d59eb 100644
--- a/ingestion/src/metadata/data_quality/validations/column/sqlalchemy/columnValuesToBeUnique.py
+++ b/ingestion/src/metadata/data_quality/validations/column/sqlalchemy/columnValuesToBeUnique.py
@@ -16,6 +16,7 @@ Validator for column values to be unique test case
 from typing import Optional
 
 from sqlalchemy import Column, inspect
+from sqlalchemy.exc import SQLAlchemyError
 from sqlalchemy.orm.util import AliasedClass
 
 from metadata.data_quality.validations.column.base.columnValuesToBeUnique import (
@@ -50,24 +51,34 @@ class ColumnValuesToBeUniqueValidator(
             metric: metric
             column: column
         """
-        return self.run_query_results(self.runner, metric, column)
+        count = Metrics.COUNT.value(column).fn()
+        unique_count = Metrics.UNIQUE_COUNT.value(column).query(
+            sample=self.runner._sample  # pylint: disable=protected-access
+            if isinstance(
+                self.runner._sample,  # pylint: disable=protected-access
+                AliasedClass,
+            )
+            else self.runner.table,
+            session=self.runner._session,  # pylint: disable=protected-access
+        )  # type: ignore
+
+        try:
+            self.value = dict(self.runner.dispatch_query_select_first(count, unique_count.subquery("uniqueCount")))  # type: ignore
+            res = self.value.get(Metrics.COUNT.name)
+        except Exception as exc:
+            raise SQLAlchemyError(exc)
+
+        if res is None:
+            raise ValueError(
+                f"\nQuery on table/column {column.name if column is not None else ''} returned None. Your table might be empty. "
+                "If you confirmed your table is not empty and are still seeing this message you can:\n"
+                "\t1. check the documentation: https://docs.open-metadata.org/v1.3.x/connectors/ingestion/workflows/data-quality/tests\n"
+                "\t2. reach out to the Collate team for support"
+            )
+
+        return res
 
     def _get_unique_count(self, metric: Metrics, column: Column) -> Optional[int]:
         """Get unique count of values"""
-        unique_count = dict(
-            self.runner.select_all_from_query(
-                metric.value(column).query(
-                    sample=self.runner._sample  # pylint: disable=protected-access
-                    if isinstance(
-                        self.runner._sample,  # pylint: disable=protected-access
-                        AliasedClass,
-                    )
-                    else self.runner.table,
-                    session=self.runner._session,  # pylint: disable=protected-access
-                )  # type: ignore
-            )[
-                0
-            ]  # query result is a list of tuples
-        )
 
-        return unique_count.get(metric.name)
+        return self.value.get(metric.name)
diff --git a/ingestion/src/metadata/profiler/metrics/static/unique_count.py b/ingestion/src/metadata/profiler/metrics/static/unique_count.py
index 00853b1b25f..ade1e743f27 100644
--- a/ingestion/src/metadata/profiler/metrics/static/unique_count.py
+++ b/ingestion/src/metadata/profiler/metrics/static/unique_count.py
@@ -61,8 +61,8 @@ class UniqueCount(QueryMetric):
         unique_count_query = _unique_count_query_mapper[session.bind.dialect.name](
             col, session, sample
         )
-        only_once_cte = unique_count_query.cte("only_once")
-        return session.query(func.count().label(self.name())).select_from(only_once_cte)
+        only_once_sub = unique_count_query.subquery("only_once")
+        return session.query(func.count().label(self.name())).select_from(only_once_sub)
 
     def df_fn(self, dfs=None):
         """