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
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 st...
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