Overview
Support the development of data engineering skills in national statistical offices and provide practical guides to enable the sustainable modernization of their data and IT architecture.
Key Responsibilities
- Work closely with IT and statistical focal points of national statistical offices to gather information on existing IT systems and draft requirements and provide technical advice to modernize them.
- Develop a report with a summary of requirements and technical recommendations for the modernization of IT architecture in at least 2 Data for Now project and DATAS countries.
- Delivery of technical assistance and advice (through remote sessions and potentially country missions) to facilitate the implementation of the technical recommendations for the modernization of IT architecture.
- Provide trainings and knowledge sharing of the platforms and technology stack deployment and use on data lake architecture to internal and external stakeholders.
- Support development of country case studies around the modernization of IT architecture that facilitates the integration and use of innovative and administrative data sources into the production of official statistics.
- Support development of general guidance on IT architecture and infrastructure related to the use of non-traditional data sources, initially for administrative data, but potentially also expanded to other innovative sources.
- Where and if applicable, ensure adherence to UN policies and data governance frameworks
Required Experience
A minimum of five (5) years of progressively responsible experience in enterprise data management systems, data warehousing infrastructure, big data technologies, GIS analytics, and/or cloud-based data storage and data access solutions is required. Experience working with National Statistical Offices, particularly within developing country settings, is desirable. Demonstrated experience in planning and implementing IT architecture solutions for complex statistical data production systems or data science projects. Demonstrated experience in agile project management and facilitation of IT trainings and workshops. Experience in coordination with various stakeholders is desirable.
Qualifications
Advanced university degree (Master’s degree or equivalent) in computer science, data science, data engineering, or related field. with five (5) years of experience. A bachelor’s degree in combination with seven (7) years of experience may be accepted in lieu of an advanced degree.
