Data Governance (Data Quality tool) Professional

Educational Requirements Service Line Responsibilities

• Data Governance Implementation: Design and implement data governance frameworks, policies, and standards
• Define data ownership, stewardship, and accountability models
• Ensure compliance with regulatory requirements (GDPR, HIPAA, etc.)
• Data Quality Management
• Implement and manage data quality tools (IDQ / Ataccama / Collibra / Talend DQ)
• Define and enforce data quality rules (validity, accuracy, completeness, consistency)
• Perform data profiling, cleansing, validation, and monitoring
• Identify and resolve data anomalies and inconsistencies
• Metadata Data Lineage
• Maintain and manage data catalog, metadata, and lineage
• Track end-to-end data flow across systems
• Ensure transparency and traceability of data assets
• Data Stewardship Compliance
• Collaborate with data stewards, business users, and IT teams
• Establish processes for data issue management and resolution
• Conduct audits and ensure adherence to governance policies
• Integration with Data Platforms
• Integrate data quality checks with data warehouses (Snowflake, BigQuery, Redshift)
• Data lakes (AWS S3, Azure Data Lake)
• Validate data across ETL/ELT pipelines
• Support data engineering and analytics teams
• Monitoring Reporting
• Build dashboards and reports on data quality metrics and KPIs
• Monitor data health and generate quality scorecards
• Provide actionable insights for improvement

Required Skills Qualifications

• Core Skills: 36 years of experience in Data Governance / Data Quality
• Hands-on experience with data quality tools: Informatica Data Quality (IDQ)
• Ataccama ONE
• Collibra Data Quality
• Talend Data Quality
• Strong understanding of data governance principles
• Technical Skills
• Strong SQL skills
• Experience with data profiling and cleansing techniques
• Knowledge of ETL/ELT processes and data pipelines
• Familiarity with data modeling concepts
• Tools Platforms
• Data catalog governance tools (Collibra, Alation, Azure Purview)
• Cloud platforms (AWS / Azure / GCP)
• BI tools (Power BI, Tableau) for reporting

Additional Responsibilities

• Certifications in Informatica / Ataccama / Collibra / Data Governance
• Experience with data lineage and metadata tools
• Knowledge of data privacy and security frameworks
• Exposure to big data technologies (Spark, Hadoop)

Technical and Professional Requirements Preferred Skills

• Technology- >ETL Data Quality- >ETL Data Quality - ALL
• Technology- >Consulting - Data Governance- >Data Governance