JD
Hands on experience on Microsoft Purview setup implementaion configuration is a must
Enterprise Data Governance Framework Design Deep understanding of how to architect implement and scale a governance framework from scratch
Metadata Management Data Lineage Expertise in mapping data flows from source to consumption maintaining data catalogs and tracking technicaloperational metadata
Data Quality DQ Engineering Standardization Ability to define DQ dimensions accuracy completeness validity etc establish profiling rules and set enterprisewide quality benchmarks
Data Lexicon Semantics Profiling and building business glossaries to ensure uniform data definitions across disparate business units
Regulatory Compliance Data Control Knowledge of risk frameworks privacy regulations like GDPR CCPA or BCBS 239 and implementing data accesssecurity controls

Responsibility
Change Management Governance Adoption The soft power required to convince business and technical teams to adopt new data habits and cultural standards
CrossFunctional Collaboration Bridge Building Acting as the translator between highly technical data engineersIT and nontechnical business stakeholders
Data Stewardship Program Operations Setting up operating models defining RACI matrices for data ownersstewards and running formal data certification workflows
Program Management Continuous Monitoring Leading regular governance councils managing audit logs tracking DQ metricsdashboards and steering enterprise data management initiatives

Primary Skills
SQL complex queries joins aggregations
ETL Testing Informatica DataStage Talend etc
Data Warehousing Concepts StarSnowflake schema factdimension tables
UnixLinux scripting for ETL validation
Database Platforms Oracle SQL Server Teradata PostgreSQL
Test Management Tools JIRA HP ALM Zephyr
Data Validation Reconciliation Techniques
Performance Testing for ETL jobs

Secondary Skills
PythonScala Scripting
CICD Tools Jenkins GitLab
Reporting Tools Tableau Power BI
AgileScrum Practices
Communication Documentation