Senior Data Solutions Architect

2 weeks ago


Chennai, Tamil Nadu, India The World Bank Full time

About the Role:

The World Bank is seeking a talented Senior Data Solutions Architect to join its Data and Analytics team. As a key member of the team, you will be responsible for designing and developing cutting-edge data products and solutions that support the World Bank's data management, data integration, and data science functions.

Key Responsibilities:

  • Interface with business analysts, project managers, and clients to understand product requirements and develop technical specifications for implementation.
  • Design and develop enterprise-grade data-driven products and solutions leveraging cloud platforms, data platforms, API standards, and modern front-end frameworks.
  • Ensure that technical solutions supporting the unit's operations initiatives are successfully delivered, leveraging technology and architecture best practices.
  • Provide technical guidance, create relevant solution artifacts, and review project deliverables to ensure alignment with World Bank standards and guidelines.
  • Interact with the Enterprise Architecture and Office of Information Security teams to ensure that solutions are built in adherence with the defined enterprise architecture and enterprise security standards.

Requirements:

  • Master's degree with 5 years of relevant experience or equivalent combination of education and experience.
  • Strong experience as a technical lead, responsible for designing, developing, and managing data-driven products and solutions to support data management, dissemination, visualization, and analytical capabilities.
  • Minimum 2 years of experience in integrating product capabilities with cloud-based platforms and services, such as Databricks, Azure Data Factory, Azure Data Lake Gen 2, and Azure SQL.
  • Minimum 2 years of experience in design and development of web applications leveraging modern front-end frameworks and libraries.
  • Strong ability to enhance data product capabilities by embedding artificial intelligence, machine learning, and other emerging technologies.
  • Excellent verbal and written communication skills and ability to communicate well with all stakeholders at all levels, technical as well as non-technical.


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