Data Architect needed at PricewaterhouseCoopers

Qualifications / Certifications required:

• Bachelor’s degree in Computer Science, Information Technology and/or related field
• Relevant certifications in MDM, data management and/or related areas – advantageous

Experience required:

• Minimum 10 years experience in data architecture roles
• Demonstrated experienced in designing and implementing enterprise-level data management solutions
• Relevant working experience in Banking / financial services
• Strong understanding of data governance, data quality frameworks, and best practices.
• Proficiency in data integration, data modeling and data warehousing.
• Experienced with MDM tools and platforms (Informatica, IBM Infosphere, Talend)
• Familiarity with data fabric technologies and solutions (Microsoft Fabric, Denodo, Talend Data Fabric)
• Knowledge of cloud platforms and services (preferably Azure and AWS)
• Excellent analytical and problem solving skills
• Strong communication and collaboration skills
• Proven ability to lead and manage project effectively

Responsibilities of role:

MDM Solution Design and Implementation:

• Design and implement robust MDM solutions to ensure accurate, consistent, and complete master data across the organisation
• Develop and enforce data governance policies and standards

Data Architecture:

• Design and implement a scalable and flexible data fabric architecture to support seamless data integration, access, and management
• Ensure data fabric solutions align with business goals and technology advancements

Data Quality and Governance

• Establish data quality frameworks and processes to ensure the accuracy and integrity of master data
• Collaborate with data stewards and business units to enforce data governance policies and procedures

Integration and Interoperability:

• Oversee the integration of MDM and data solutions with existing systems and applications
• Ensure interoperability between various data sources and platforms

Technical leadership:

• Provide technical leadership and guidance to the data management team and other stakeholders
• Stay updated with industry trends and emerging technologies in data management and architecture

Project management:

• Lead and manage MDM and data projects, ensuring timely delivery  and adherence to budgets
• Coordinate with cross-fun-functional teams to meet project objectives and deliverables