Develop, implement, and maintain data governance frameworks, policies, and standards to ensure high-quality, consistent, and secure data across the organization.
Collaborate with business units and stakeholders to define and enforce data governance policies, ensuring alignment with business goals and regulatory requirements.
Data Quality Management :
Define and enforce data quality standards, monitoring key data quality metrics.
Identify, analyze, and resolve data quality issues across various data sources and platforms.
Work with cross-functional teams to implement data quality improvement initiatives.
Data Lineage & Metadata Management :
Implement and maintain data lineage and metadata management solutions to ensure visibility and traceability of data throughout its lifecycle.
Work with data architects and engineers to establish and document data flows, transformations, and dependencies.
Data Security & Compliance :
Ensure that data governance practices comply with relevant regulatory requirements (e.g., GDPR, CCPA, HIPAA).
Implement data security controls to protect sensitive data and manage access to sensitive information.
Stakeholder Collaboration :
Partner with data architects, data engineers, data scientists, and business analysts to ensure alignment between technical and business needs for data governance.
Provide training and support for teams on data governance policies, best practices, and tools.
Data Governance Tools & Technologies :
Lead the implementation and optimization of data governance tools and platforms.
Continuously evaluate emerging tools and technologies to improve data governance processes.
Reporting & Documentation :
Develop and maintain comprehensive data governance documentation and reports.
Provide regular updates to senior management on the status of data governance initiatives, risks, and areas of improvement.
Q1.1. Explain 5 mins the flow from requirement analysis to production deployment and tools used in the process. 2. What is auto-scaling in a mi... read more