Jobs → QA & Testing → DQA Engineering Lead

About the Role We are seeking a DQA Engineering Lead with expertise in Databricks and Snowflake to lead data quality initiatives. Key Responsibilities • Implement and maintain data quality frameworks using tools like Great Expectations, dbt Tests, and Soda • Develop and enforce Data Quality as Code (DQxC) practices • Design and implement Shift-Left Automation strategies • Conduct code reviews and performance tuning for data quality solutions • Integrate data quality checks into CI/CD pipelines Requirements • Strong hands-on expertise in Databricks, PySpark, Spark SQL, and Delta Lake • Deep understanding of Snowflake architecture and Snowpark (Python) • Advanced Python, PySpark, and SQL skills • Experience with Data Quality as Code (DQxC) and Shift-Left Automation • Familiarity with data quality frameworks: Great Expectations, dbt Tests, Soda, or custom frameworks • CI/CD integration, schema validation, and anomaly detection experience • Data quality architecture, performance tuning, and code reviews Preferred Qualifications • Healthcare Payer domain experience: Medicare, Medicaid, Claims, HL7/FHIR, PHI/PII • Databricks Data Engineer Professional or SnowPro Advanced certification • SAFe / Agile Pod-based delivery experience