Data Quality Lead

About the Role USC/GC ONLY Must be local We are seeking a Data Quality Analyst / Databricks/informatica Implementation LEAD to support enterprise-wide data governance and Lakehouse initiatives. This role will be instrumental in ensuring high-quality, well-governed data across domains by partnering with business stakeholders, data stewards, and technical teams. You will play a key role in translating business data requirements into trusted datasets within Databricks Unity Catalog, while helping establish scalable standards for data quality, metadata, and lineage. Key Responsibilities Data Quality & Profiling • Develop and maintain data quality rules for critical data elements (CDEs) • Perform data profiling, anomaly detection, and root cause analysis • Collaborate with data stewards to validate business definitions and thresholds • Monitor and report on data quality metrics and remediation efforts Databricks Unity Catalog Implementation • Support rollout of Unity Catalog across business domains • Assist with onboarding datasets into Bronze → Silver → Gold (Medallion Architecture) • Ensure lineage, ownership, and quality rules are embedded in pipelines • Implement access controls and sensitivity tagging Collaboration & Stakeholder Engagement • Partner with data stewards, data owners, and business teams • Translate business needs into standardized data definitions and metadata • Facilitate working sessions to align on data semantics and domain ownership • Promote consistent data governance practices across domains Metadata, Lineage & Catalog Management • Maintain accurate and complete enterprise data catalog metadata • Document CDEs, KPIs, and domain-specific terminology • Validate data lineage from raw ingestion through refined layers Data Analysis & Issue Resolution • Investigate and resolve data quality issues raised by stakeholders • Perform impact analysis for schema or rule changes • Partner with engineering and business teams on data remediation efforts 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 platforms • Strong understanding of data quality frameworks and best practices • Experience working with data catalogs or governance tools • Proficiency in SQL and data analysis • Strong communication and stakeholder collaboration skills Preferred Qualifications • Experience with Databricks Unity Catalog • Familiarity with Medallion Architecture (Bronze/Silver/Gold) • Exposure to data governance frameworks (e.g., DAMA, DCAM) • Experience working with data stewards or data owners • Knowledge of data modeling or semantic layer design What Success Looks Like • You are detail-oriented, analytical, and collaborative • You thrive in cross-functional environments • You are passionate about building scalable data governance and quality programs • You bring a proactive mindset to improving data trust and usability across the enterprise