DATA GOVERNANCE ENGINEER
karachi
full time
hybrid
Job Responsibilities
- Configuration and Deployment: Implement and maintain data governance frameworks, policies, and procedures in Azure cloud environment using tools like Azure Purview.
- Data Quality Management: Collaborate with data stewards and data owners to define and enforce data quality standards, including data profiling, cleansing, and validation processes.
- Metadata Management: Establish and maintain metadata repositories to facilitate data discovery, lineage, and impact analysis.
- Compliance and Regulatory Oversight: Ensure adherence to regulatory requirements such as GDPR, HIPAA, or industry-specific standards, and implement appropriate controls to mitigate risks.
- Risk Assessment and Mitigation: Conduct risk assessments to identify potential data governance issues and develop strategies to address them proactively.
- Collaboration and Communication: Work closely with cross-functional teams including data engineers, analysts, and business stakeholders to understand data governance requirements and drive alignment on implementation strategies.
- Documentation and Training: Create documentation, guidelines, and training materials to educate users on data governance policies, processes, and best practices.
- Continuous Improvement: Stay abreast of industry trends and emerging technologies in data governance, and recommend enhancements to existing processes and tools.
- Auditing: Perform regular audits and assessments to evaluate compliance with data governance policies.
- Incident management: Troubleshoot data governance issues and recommend solutions to enhance data quality and security.
Skills
- Extensive hands-on experience with Microsoft Azure cloud services, particularly Azure Purview, Azure Databricks, and Profisee Master Data Management.
- Proficiency in configuring and deploying data governance solutions in Azure cloud environment.
- Strong understanding of data management principles, including data quality, metadata management, and data lineage.
- Familiarity with data governance frameworks (e.g., DAMA-DMBOK, IBM InfoSphere, etc.).
- Excellent analytical and problem-solving skills with the ability to troubleshoot complex data governance issues.
- Solid understanding of cloud technologies, particularly Azure services and infrastructure.
- Experience with programming/scripting languages such as Python, SQL, PowerShell, or similar.
- Strong communication and interpersonal skills with the ability to collaborate effectively with cross-functional teams.
- Attention to detail and a commitment to maintaining data integrity and security.
- Ability to adapt to a fast-paced and dynamic work environment, managing multiple priorities effectively.
Education & Certification
- Bachelor's degree in Computer Science, Information Technology, or related field; Master's degree preferred.
- Proven experience in data governance and data management domain with a strong understanding of best practices and international standards
- Certification in Microsoft Azure (e.g., Microsoft Certified: Azure Data Engineer Associate).
- Minimum of 5 years of experience in data management, data governance, or related roles.
- Knowledge of machine learning concepts and tools for predictive analytics and data-driven decision-making.
- Experience with Agile development methodologies such as Scrum or Kanban.
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