diff --git a/.github/workflows/cd-sql-engine-populate-persistent-source-schema.yaml b/.github/workflows/cd-sql-engine-populate-persistent-source-schema.yaml
new file mode 100644
index 0000000000..e62b12b16d
--- /dev/null
+++ b/.github/workflows/cd-sql-engine-populate-persistent-source-schema.yaml
@@ -0,0 +1,110 @@
+# See [Persistent Source Schema](/GLOSSARY.md#persistent-source-schema)
+# Populating the source schema via this workflow ensures that it's done with the same settings as the tests.
+
+name: Reload Test Data in SQL Engines
+
+# We don't want multiple workflows trying to create the same table.
+concurrency:
+  group: POPULATE_PERSISTENT_SOURCE_SCHEMA
+  cancel-in-progress: true
+
+on:
+  pull_request:
+    types: [labeled]
+  workflow_dispatch:
+
+env:
+  # Unclear on how to make 'Reload Test Data in SQL Engines' a constant here as it does not work here.
+  PYTHON_VERSION: "3.8"
+
+jobs:
+  snowflake-populate:
+    environment: DW_INTEGRATION_TESTS
+    if: >
+      github.event.action == 'workflow_dispatch'
+      || (github.event.action == 'labeled' && github.event.label.name == 'Reload Test Data in SQL Engines')
+    name: Snowflake
+    runs-on: ubuntu-latest
+    steps:
+      - name: Check-out the repo
+        uses: actions/checkout@v3
+
+      - name: Populate w/Python ${{ env.PYTHON_VERSION }}
+        uses: ./.github/actions/run-mf-tests
+        with:
+          python-version: ${{ env.PYTHON_VERSION }}
+          mf_sql_engine_url: ${{ secrets.MF_SNOWFLAKE_URL }}
+          mf_sql_engine_password: ${{ secrets.MF_SNOWFLAKE_PWD }}
+          parallelism: 1
+          make-target: "populate-persistent-source-schema-snowflake"
+
+  redshift-populate:
+    environment: DW_INTEGRATION_TESTS
+    name: Redshift
+    if: >
+      github.event.action == 'workflow_dispatch'
+      || (github.event.action == 'labeled' && github.event.label.name == 'Reload Test Data in SQL Engines')
+    runs-on: ubuntu-latest
+    steps:
+      - name: Check-out the repo
+        uses: actions/checkout@v3
+
+      - name: Populate w/Python ${{ env.PYTHON_VERSION }}
+        uses: ./.github/actions/run-mf-tests
+        with:
+          python-version: ${{ env.PYTHON_VERSION }}
+          mf_sql_engine_url: ${{ secrets.MF_REDSHIFT_URL }}
+          mf_sql_engine_password: ${{ secrets.MF_REDSHIFT_PWD }}
+          parallelism: 1
+          make-target: "populate-persistent-source-schema-redshift"
+
+  bigquery-populate:
+    environment: DW_INTEGRATION_TESTS
+    name: BigQuery
+    if: >
+      github.event.action == 'workflow_dispatch'
+      || (github.event.action == 'labeled' && github.event.label.name == 'Reload Test Data in SQL Engines')
+    runs-on: ubuntu-latest
+    steps:
+      - name: Check-out the repo
+        uses: actions/checkout@v3
+
+      - name: Populate w/Python ${{ env.PYTHON_VERSION }}
+        uses: ./.github/actions/run-mf-tests
+        with:
+          python-version: ${{ env.PYTHON_VERSION }}
+          MF_SQL_ENGINE_URL: ${{ secrets.MF_BIGQUERY_URL }}
+          MF_SQL_ENGINE_PASSWORD: ${{ secrets.MF_BIGQUERY_PWD }}
+          parallelism: 1
+          make-target: "populate-persistent-source-schema-bigquery"
+
+  databricks-populate:
+    environment: DW_INTEGRATION_TESTS
+    name: Databricks SQL Warehouse
+    if: >
+      github.event.action == 'workflow_dispatch'
+      || (github.event.action == 'labeled' && github.event.label.name == 'Reload Test Data in SQL Engines')
+    runs-on: ubuntu-latest
+    steps:
+      - name: Check-out the repo
+        uses: actions/checkout@v3
+
+      - name: Populate w/Python ${{ env.PYTHON_VERSION }}
+        uses: ./.github/actions/run-mf-tests
+        with:
+          python-version: ${{ env.PYTHON_VERSION }}
+          mf_sql_engine_url: ${{ secrets.MF_DATABRICKS_SQL_WAREHOUSE_URL }}
+          mf_sql_engine_password: ${{ secrets.MF_DATABRICKS_PWD }}
+          parallelism: 1
+          make-target: "populate-persistent-source-schema-databricks"
+
+  remove-label:
+    name: Remove Label After Populating Test Data
+    runs-on: ubuntu-latest
+    needs: [ snowflake-populate, redshift-populate, bigquery-populate, databricks-populate]
+    if: github.event.action == 'labeled' && github.event.label.name == 'Reload Test Data in SQL Engines'
+    steps:
+      - name: Remove Label
+        uses: actions-ecosystem/action-remove-labels@v1
+        with:
+          labels: 'Reload Test Data in SQL Engines'
diff --git a/GLOSSARY.md b/GLOSSARY.md
new file mode 100644
index 0000000000..ebb047bef8
--- /dev/null
+++ b/GLOSSARY.md
@@ -0,0 +1,13 @@
+# Glossary
+
+## Persistent source schema
+Many tests generate and execute SQL that depend on tables containing test data. By default, a
+pytest fixture creates a temporary schema and populates it with the tables that are required by
+the tests. This schema is referred to the source schema. Creating the source schema (and
+the associated tables) can be a slow process for some SQL engines. Since these tables generally
+do not change often, functionality was added to use a source schema that is assumed to already
+exist when running tests and persists between runs (a persistent source schema). In addition,
+functionality was added to create the persistent source schema based on table definitions in the
+repo. Because the name of the source schema is generated based on the hash of the data that's
+supposed to be in the schema, the creating and populating the persistent source schema should
+not be done concurrently as there are race conditions when creating tables and inserting data.
diff --git a/Makefile b/Makefile
index bc2d10b863..a0dc3152bd 100644
--- a/Makefile
+++ b/Makefile
@@ -7,6 +7,10 @@ PARALLELISM = "auto"
 # Additional command line options to pass to pytest.
 ADDITIONAL_PYTEST_OPTIONS = ""
 
+# Pytest that can populate the persistent source schema
+USE_PERSISTENT_SOURCE_SCHEMA = "--use-persistent-source-schema"
+POPULATE_PERSISTENT_SOURCE_SCHEMA = "metricflow/test/source_schema_tools.py::populate_source_schema"
+
 # Install Hatch package / project manager
 .PHONY: install-hatch
 install-hatch:
@@ -21,24 +25,41 @@ test:
 test-postgresql:
 	hatch -v run postgres-env:pytest -vv -n $(PARALLELISM) $(ADDITIONAL_PYTEST_OPTIONS) metricflow/test/
 
-# Engine-specific test environments. In most cases you should run these with
-# `make -e ADDITIONAL_PYTEST_OPTIONS="--use-persistent-source-schema" test-<engine_type>`
+# Engine-specific test environments.
 .PHONY: test-bigquery
 test-bigquery:
 	hatch -v run bigquery-env:pytest -vv -n $(PARALLELISM) $(ADDITIONAL_PYTEST_OPTIONS) metricflow/test/
 
+.PHONY: populate-persistent-source-schema-bigquery
+populate-persistent-source-schema-bigquery:
+	hatch -v run bigquery-env:pytest -vv $(ADDITIONAL_PYTEST_OPTIONS) $(USE_PERSISTENT_SOURCE_SCHEMA) $(POPULATE_PERSISTENT_SOURCE_SCHEMA)
+
 .PHONY: test-databricks
 test-databricks:
 	hatch -v run databricks-env:pytest -vv -n $(PARALLELISM) $(ADDITIONAL_PYTEST_OPTIONS) metricflow/test/
 
+.PHONY: populate-persistent-source-schema-databricks
+populate-persistent-source-schema-databricks:
+	hatch -v run databricks-env:pytest -vv $(ADDITIONAL_PYTEST_OPTIONS) $(USE_PERSISTENT_SOURCE_SCHEMA) $(POPULATE_PERSISTENT_SOURCE_SCHEMA)
+
 .PHONY: test-redshift
 test-redshift:
 	hatch -v run redshift-env:pytest -vv -n $(PARALLELISM) $(ADDITIONAL_PYTEST_OPTIONS) metricflow/test/
 
+.PHONY: populate-persistent-source-schema-redshift
+populate-persistent-source-schema-redshift:
+	hatch -v run redshift-env:pytest -vv $(ADDITIONAL_PYTEST_OPTIONS) $(USE_PERSISTENT_SOURCE_SCHEMA) $(POPULATE_PERSISTENT_SOURCE_SCHEMA)
+
+
 .PHONY: test-snowflake
 test-snowflake:
 	hatch -v run snowflake-env:pytest -vv -n $(PARALLELISM) $(ADDITIONAL_PYTEST_OPTIONS) metricflow/test/
 
+.PHONY: populate-persistent-source-schema-snowflake
+populate-persistent-source-schema-snowflake:
+	hatch -v run snowflake-env:pytest -vv $(ADDITIONAL_PYTEST_OPTIONS) $(USE_PERSISTENT_SOURCE_SCHEMA) $(POPULATE_PERSISTENT_SOURCE_SCHEMA)
+
+
 .PHONY: lint
 lint:
 	hatch -v run dev-env:pre-commit run --all-files