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IFC - a member of the World Bank Group - is the largest global development institution focused on the private sector in emerging markets. We work in more than 100 countries, using our capital, expertise, and influence to create markets and opportunities. Our mission is to leverage the power of the private sector to end extreme poverty and boost shared prosperity on a livable planet. Information Technology is an integral part of the strategic initiatives for all the core business functions at IFC. Within Corporate Information and Technologies (CIT), Data Engineering, AI and Platforms (CITDE) organization provides comprehensive data and analytics support for IFC's various organizations, such as Economics & Private Sector Developments, Global Industries, Climate Business, Treasury and Mobilization, and many more. A robust engagement model with business ensures prioritization of the business requirements & focus on delivery. The solution landscape encompasses a wide variety of in-house and customized data applications, AI/ML solutions and scaled capabilities which meet the business needs of IFC departments. Data Engineering, Platforms & AI/ML (CITDE) is seeking a Lead Data Architect who plays a pivotal role in designing and implementing the IFC's data infrastructure, with a primary focus on transactional and master data. Utilizing tech stacks such as Microsoft Azure and Databricks, this role ensures the seamless integration, storage, and processing of both transactional and master data across IFC data ecosystem. With Microsoft Azure, the architect designs cloud-based solutions, leveraging tools like Databricks, Azure SQL Database and Azure Data Lake for transactional data management, ensuring high availability, consistency, and performance. For master data, the architect employs Microsoft Azure and/or Databricks to create scalable data pipelines that consolidate, cleanse, and synchronize data from multiple sources, ensuring a single, accurate view of key business entities. The architect ensures data governance, security, and compliance standards are adhered to while building a flexible, efficient architecture that supports IFC's evolving data needs. The role also involves collaborating with stakeholders to align the architecture with business objectives, enhancing operational efficiency, and enabling better decision-making through accurate and reliable data.