Posted: Sep 07, 2025
ContractORGANIZATIONAL OVERVIEW
The National Election Board of Ethiopia (NEBE), re-established by proclamation No. 1133/2011, is the constitutionally mandated body to conduct elections, organize referendum and regulate political parties in Ethiopia. NEBE is working to boost its’ institutional strength with a special focus on enhancement of human resource capacity. Accordingly, NEBE would like to invite applicants for Senior Data Architect position who meet the following requirements.
Required number: One
Reports to: ICT Project Manager
Duty station: NEBE Head Quarter, Addis Ababa
Duration: Contract (One year with the possibility of Extension)
Salary: As per the organization salary scale (Competitive)
Job Summary
Senior Data Architect is responsible for the design, review and analysis of the election data infrastructure, plan future databases, and implement solutions to store and manage election data for the different systems
Duties and responsibilities
Developing and implementing an overall organizational data strategy that is in line with business processes. The strategy consists of data model designs, database development standards, implementation and management of data warehouse and data analytics systems.
Identifying data sources, both internal and external, and working out a plan for data management that is aligned with organizational data strategy
Coordinating and collaborating with cross-functional teams, stakeholders, and vendors for the smooth functioning of the enterprise data system.
Managing end-to-end data architecture, from selecting the platform, designing the technical architecture, and developing the application to finally testing and implementing the proposed solution.
Planning and execution of big data solutions using appropriate technologies
Defining and managing the flow of data and dissemination of information within the organization
Integrating technical functionality, ensuring data accessibility, accuracy, and security.
Education and Work Experience:
BSC degree in Computer Science, Information Technology, Computer Engineering, Software Engineering, or a related field
Knowledge:
Experience in designing and implementing data warehouses and data lakes.
Proficiency in programming languages like SQL, Python, or Java for data manipulation and automation
Know-How (Skills) (Technical competencies):
Knowledge of systems development, including system development life cycle, project management approaches and requirements, design and testing techniques
Proficiency in data modeling and design, including SQL development and database administration
Ability to implement common data management and reporting technologies, as well as the basics of columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics.
Knowledge of programming languages Python#, C/C++, Java, and Perl, PHP
Familiarity with big data tools and frameworks such as Hadoop,
Understanding of Extract, Transform, Load (ETL) processes for data integration and migration.
Knowledge of various database management systems (DBMS) like SQL, NoSQL, and cloud databases.
Proficiency in creating data models that represent the structure and relationships of data.
Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
How To Apply
INTERESTED APPLICANTS ARE INVITED TO SEND NON-RETURNABLE:
Application letter that explains why you fit for the post and updated CV, and Three work related referees;
Female candidates are encouraged to apply!
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