At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Requirements
- Develop, implement, and maintain enterprise-wide data governance policies, procedures, and standards within the Azure ecosystem.
- Leverage Azure Purview to manage data catalogs, lineage, classification, and metadata across multiple data sources.
- Design and implement data access controls, data stewardship models, and compliance monitoring using Databricks Unity Catalog.
- Build and maintain data quality and validation frameworks using PySpark, Python, and SQL within Azure Databricks environments.
- Collaborate with engineering teams to embed governance standards into data pipelines and workflows.
- Monitor adherence to data governance policies and regulatory compliance (e.g., GDPR, HIPAA) leveraging Azure and Databricks tools.
- Utilize Databricks Genie or similar orchestration tools for automated workflow scheduling and job monitoring with governance checks.
- Develop dashboards, reports, and alerts to track key data governance metrics and incidents.
- Conduct training and awareness sessions to enhance data governance literacy across the organization.
- Work across cross-functional teams including legal, security, risk, and business units to align governance strategies.
- Stay current with emerging trends and best practices in data governance and cloud data platforms.
Benefits
- Competitive salary and comprehensive benefits.
- Opportunity to lead critical data governance initiatives on cloud platforms.
- Collaborative and innovative work environment.
- Opportunities for professional growth and learning.
