Senior IT Officer - Lead Data Architect - GG

international finance corporation

Our mission is to leverage the power of the private sector to end extreme poverty and boost shared prosperity on a livable planet.

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.

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.

Duties and Responsibilities:

• Lead the design, development, and implementation of scalable, high-performance data architectures leveraging Databricks and Microsoft Azure, with a focus on both transactional and master data.
• Architect and manage end-to-end data pipelines using Azure Data Factory, Databricks, and related tools to ingest, process, and store large volumes of structured and unstructured data across the IFC's data ecosystem.
• Design and implement master data management (MDM) solutions to ensure a single, unified, and accurate view of critical business entities.
• Leverage Azure services such as Azure Synapse Analytics, Azure Data Lake, Azure SQL Database, and Azure Cosmos DB to build and maintain a cloud-based data infrastructure that supports business intelligence and reporting needs.
• Optimize data processing workflows for performance and cost-efficiency in the cloud, utilizing Databricks for distributed computing and Azure for flexible resource management.
• Work closely with business stakeholders, data engineers, data scientists, and other technical teams to understand requirements, provide architectural recommendations, and align data strategies with business objectives.
• Lead, mentor, and guide junior data engineers, fostering a culture of collaboration and continuous improvement. Provide technical leadership in adopting best practices for data architecture and cloud technologies.
• Stay up-to-date with the latest advancements in cloud technologies, big data solutions, and data engineering practices to ensure IFC's data architecture remains innovative, cutting-edge, and aligned with industry trends.
• Provide expert-level troubleshooting and support for complex data-related issues across the Azure and Databricks platforms, ensuring the smooth operation of data processes and minimizing downtime.
• Develop and maintain comprehensive architecture documentation, data flow diagrams, and system specifications to ensure clear communication of design decisions and system components.

• Master's degree in computer science, Statistics, Applied Mathematics, Data Science, or Machine Learning with 10 years of experience or equivalent combination of education and experience.
• Minimum of 7+ years of experience in data architecture, with at least 5+ years of hands-on experience in designing and deploying solutions using Microsoft Azure and Databricks.
• Proven experience in architecting and managing data solutions for both transactional and master data in large-scale environments.
• Strong proficiency with the Microsoft Azure tech stack, including Azure Data Lake, Azure Synapse Analytics, Azure SQL Database, Azure Cosmos DB, Azure Data Factory, and Azure Machine Learning.
• In-depth knowledge of Databricks, including building data pipelines, working with Delta Lake, and implementing data engineering workflows along with Unity Catalog.
• Expertise in cloud data architecture best practices, performance optimization, and cost management within Azure and Databricks.
• Deep understanding of master data management (MDM) practices and experience working with transactional data in the financial industry or similarly regulated sectors.
• Experience leading and mentoring teams of data architects, engineers, and other technical stakeholders.
• Demonstrated ability to collaborate effectively with cross-functional teams to align data strategies with business goals and technical requirements.
• Excellent analytical and troubleshooting skills, with the ability to identify and resolve complex data issues, optimize workflows, and implement innovative solutions.
• Strong communication skills with the ability to clearly document data architectures, workflows, and design decisions, ensuring alignment and understanding across technical and non-technical stakeholders.
• Ability to quickly adapt to new technologies and evolving business needs, with a commitment to staying current with industry trends and emerging technologies in the cloud data space.
• Proficiency in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps).
• Practical understanding of data encryption, access control, and security best practices to protect sensitive data.
• SAFe experience and the ability to work on a cross functional, self-organizing development teams.

World Bank Group Core Competencies

The World Bank Group offers comprehensive benefits, including a retirement plan; medical, life and disability insurance; and paid leave, including parental leave, as well as reasonable accommodations for individuals with disabilities.

We are proud to be an equal opportunity and inclusive employer with a dedicated and committed workforce, and do not discriminate based on gender, gender identity, religion, race, ethnicity, sexual orientation, or disability.

Learn more about working at the World Bank and IFC, including our values and inspiring stories.

• Application and Interview Preparation: Whether you're preparing your application documents or getting ready for an interview, you can book a Job Application Support session to receive tailored guidance.
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Job type: Staff (Permanent and Fixed Term)