The Data Quality Analyst/Databricks Implementation Specialist plays a key role in advancing the company’s enterprise data governance and Databricks Lakehouse strategy. This role partners closely with business data stewards, data owners, and technical teams to translate business data requirements into governed, high-quality datasets within Databricks Unity Catalog. The analyst will support domain onboarding, develop and operationalize data quality rules, perform profiling and analysis, and help implement enterprise standards for metadata, lineage, and semantic consistency.

Key Responsibilities:

Data Quality & Profiling:

• Develop, document, and maintain data quality rules for critical data elements (CDEs)
• Perform data profiling, anomaly detection, and root-cause analysis
• Partner with data stewards to validate definitions, thresholds, and business rules
• Monitor and report on data quality metrics and remediation progress

Databricks Unity Catalog Implementation:

• Support Unity Catalog rollout across domains, including catalog structure, tagging, and metadata standards
• Assist with onboarding domains into the Bronze, Silver, and Gold architecture
• Ensure lineage, ownership, and quality rules are embedded into Databricks pipelines
• Help implement domain-aligned access controls and sensitivity tagging

Collaboration with Data Stewards & Business Partners:

• Work directly with business data stewards to understand data requirements and quality expectations
• Translate business meaning into standardized CDEs and steward-approved metadata
• Facilitate working sessions to align on semantics, domain boundaries, and data product requirements
• Support consistent governance practices across domains

Metadata, Lineage, and Catalog Management:

• Maintain high-quality metadata in the enterprise data catalog