Data Quality Engineer for Azure & Databricks Pipelines

Blend is seeking a Data Quality Engineer to ensure data quality across modern platforms using Azure and Databricks. The role focuses on validating data pipelines, implementing automated quality checks, and collaborating with Data Engineering and business teams to guarantee reliable data assets.

You will design a quality framework, build automated checks, and own reconciliation between source data and Databricks layers while supporting UAT and post-deployment monitoring.