Data Quality Analyst / Databricks Implementation Specialist

Job Summary We are seeking a Data Quality Analyst / Databricks Implementation Specialist to support enterprise data governance and lakehouse initiatives. This role focuses on improving data quality, implementing governance standards, and enabling scalable, high-quality datasets within Databricks environments. Key Responsibilities Develop, document, and maintain data quality rules for critical data elements Perform data profiling, anomaly detection, and root cause analysis Collaborate with data stewards and business stakeholders to define data standards and quality thresholds Monitor and report on data quality metrics and remediation efforts Support implementation of Databricks Unity Catalog, including catalog structure, metadata, and tagging Assist with onboarding data domains into lakehouse architecture layers (Bronze, Silver, Gold) Ensure lineage, ownership, and data quality controls are embedded in pipelines Maintain metadata, data definitions, and lineage within enterprise data catalogs Investigate data issues and perform impact analysis for changes Collaborate with engineering and business teams to resolve data quality issues Facilitate discussions to align on data definitions, domain boundaries, and governance practices Required Qualifications 3-5 years of experience in data quality, data governance, or data analysis Hands-on experience with Databricks, Delta Lake, or similar cloud data platforms Strong understanding of data quality concepts and governance practices Experience working with metadata catalogs or governance tools Proficiency in SQL and data analysis techniques Strong communication and stakeholder collaboration skills Preferred Qualifications Experience with Databricks Unity Catalog Familiarity with Medallion Architecture (Bronze, Silver, Gold layers) Exposure to data governance frameworks such as DAMA or DCAM Experience working with data stewards or data owners Knowledge of data modeling or semantic layer design