diff --git a/src/main/java/io/cdap/plugin/gcp/bigquery/action/BigQueryExecute.java b/src/main/java/io/cdap/plugin/gcp/bigquery/action/BigQueryExecute.java
index aa23fd5f66..ed6c343261 100644
--- a/src/main/java/io/cdap/plugin/gcp/bigquery/action/BigQueryExecute.java
+++ b/src/main/java/io/cdap/plugin/gcp/bigquery/action/BigQueryExecute.java
@@ -48,8 +48,11 @@
 import org.slf4j.LoggerFactory;
 
 import java.io.IOException;
+import java.util.ArrayList;
 import java.util.Collections;
+import java.util.List;
 import java.util.Map;
+import java.util.function.Function;
 import javax.annotation.Nullable;
 
 /**
@@ -100,9 +103,6 @@ public void run(ActionContext context) throws Exception {
     // Enable legacy SQL
     builder.setUseLegacySql(config.isLegacySQL());
 
-    // Location must match that of the dataset(s) referenced in the query.
-    JobId jobId = JobId.newBuilder().setRandomJob().setLocation(config.getLocation()).build();
-
     // API request - starts the query.
     Credentials credentials = config.getServiceAccount() == null ?
       null : GCPUtils.loadServiceAccountCredentials(config.getServiceAccount(),
@@ -126,13 +126,17 @@ public void run(ActionContext context) throws Exception {
 
     QueryJobConfiguration queryConfig = builder.build();
 
-    Job queryJob = bigQuery.create(JobInfo.newBuilder(queryConfig).setJobId(jobId).build());
 
-    LOG.info("Executing SQL as job {}.", jobId.getJob());
-    LOG.debug("The BigQuery SQL is {}", config.getSql());
+    // Setting external retry strategy for BigQuery client due to BigQuery Client not retrying when a job clashes
+    // with another job, due to error being 400.
 
-    // Wait for the query to complete
-    queryJob.waitFor();
+    final String retryableStringPattern = "Retrying the job with back-off";
+    List<Function<BigQueryException, Boolean>> retryRules = new ArrayList<>();
+    retryRules.add(
+      (BigQueryException e) -> e.getCode() == 400
+        && (e.getMessage().contains(retryableStringPattern) || e.getReason().contains(retryableStringPattern))
+    );
+    Job queryJob = executeQueryJobWithCustomRetry(bigQuery, queryConfig, retryRules);
 
     // Check for errors
     if (queryJob.getStatus().getError() != null) {
@@ -169,6 +173,46 @@ public void run(ActionContext context) throws Exception {
     context.getMetrics().gauge(RECORDS_PROCESSED, rows);
   }
 
+  /**
+   * Executes Query with added retry rules following:
+   * https://cloud.google.com/bigquery/sla
+   */
+  private Job executeQueryJobWithCustomRetry(BigQuery bigQuery, QueryJobConfiguration queryConfig,
+                                             List<Function<BigQueryException, Boolean>> retryRules) throws Exception {
+    // The longest amount of time to wait in-between retries.
+    final int maximumBackoff = 32;
+
+    // The maximum number of retries.
+    final int maxRetries = 20;
+
+    int retries = 0;
+
+    while (true) {
+      try {
+        // Location must match that of the dataset(s) referenced in the query.
+        JobId jobId = JobId.newBuilder().setRandomJob().setLocation(config.getLocation()).build();
+        Job queryJob = bigQuery.create(JobInfo.newBuilder(queryConfig).setJobId(jobId).build());
+        LOG.info("Executing SQL as job {}.", jobId.getJob());
+        LOG.debug("The BigQuery SQL is {}", config.getSql());
+
+        // Wait for the query to complete
+        queryJob.waitFor();
+        return queryJob;
+      } catch (BigQueryException bigQueryException) {
+        if (retries >= maxRetries) {
+          LOG.error("Run out of retries while executing query with backoff.");
+          throw bigQueryException;
+        }
+        if (retryRules.stream().noneMatch((f -> f.apply(bigQueryException)))) {
+          throw bigQueryException;
+        }
+        LOG.warn("Received {} error from BigQuery, retrying...", bigQueryException.getMessage());
+        Thread.sleep(Math.round((Math.min(Math.pow(2, retries), maximumBackoff) + Math.random()) * 1000));
+        retries += 1;
+      }
+    }
+  }
+
   @Override
   public AbstractBigQueryActionConfig getConfig() {
     return config;