Data Governance Manager

PwC; Hyderabad, Gurugram District, Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

PwC Hyderabad is seeking a data engineering professional to design, develop, and maintain metadata processing and data governance solutions. You will collaborate with analysts and architects to implement data integration for metadata, lineage, and quality, and drive API-based integrations across platforms.

The role emphasizes building scalable ETL/ELT pipelines, supporting cloud data strategies, and ensuring data integrity through governance practices and collaborations with IT and business

Qualifications

• Experience with metadata processing concepts.
• Knowledge of data governance and data quality principles.
• Strong SQL and scripting abilities.

Responsibilities

• Design, develop, and maintain metadata processing solutions using tools like Ab Initio Meta Hub, Informatica EDC, Alation, Collibra, and OvalEdge.
• Develop and implement data integration solutions for metadata, data lineage, and data quality.
• Hands-on experience with API integrations.
• Build and maintain scalable ETL/ELT pipelines and support cloud data strategies.
• Document data models and support governance frameworks with stakeholders.

Job description

Role & responsibilities

• Design, develop, and maintain metadata processing solutions using tools such as Ab Initio Meta Hub, Informatica EDC, Alation, Collibra, and OvalEdge software to support the client's data management policies and standards. Collaborate with business analysts and data architects to understand requirements.
• Develop and implement data integration solutions for metadata, data lineage, and data quality.
• Hands on experience with API integrations.
• Experience in development using React.Js, Node.js, PythonSpark, SQL (will be an added advantage).
• Hands-on experience in SQL query development for data analysis, along with proficiency in Unix and shell scripting.
• Experience in building/maintaining scalable ETL/ELT pipelines and implementing cloud data strategies using industry standard tools (will be an added advantage)
• Experience in developing integrations between governance tools; prior experience in this area is preferred.
• Develop, implement, and maintain data quality processes to ensure data integrity across the organization by monitoring data quality metrics, performing regular data quality assessments, and collaborating with data owners and stewards to ensure compliance with data quality standards.
• Identify, document, and manage data quality issues to ensure timely and effective resolution, while leading root cause analysis and implementing corrective actions to prevent recurrence of these issues.
• Develop custom data lineage solutions for complex technology platforms.
• Design, enhance, and sustain metadata and data pipelines to facilitate periodic data quality monitoring within the client's data management system.
• Conduct data analysis to identify, gather, and transfer data across various systems, integrating and linking diverse data sets to summarize and present insights and recommendations in the most suitable format for stakeholders.
• Document data models at physical, logical, and conceptual levels to support bank-wide IT and analytics issue identification and development.
• Analyze, document, and resolve issues identified from data mapping and data conversions, and manage stakeholder engagement to resolve them with both business and IT SMEs.
• Partner with IT and business to design and implement data lineage and Data quality solutions that adhere to the Clients data principles and governance framework.
• Partner with business to translate business criteria into technical data quality rules.
• Support and influence the definition of clear goals to improve data collaboration, data lineage, data quality and reduce data architecture complexity and information security risks.

Preferred candidate profile

This role focuses on designing, developing, and maintaining metadata processing, data lineage, and data quality solutions using various tools to support organizational data management policies. Responsibilities include implementing data integration and quality processes, resolving data issues through root cause analysis, documenting data models, and collaborating with business and IT stakeholders to ensure compliance with data governance frameworks and improve data integrity and security