SDMX Architect / Statistical Data Expert

We are seeking a highly experienced SDMX Architect / Statistical Data Expert supporting the design and implementation of a large-scale national data and statistics platform.

This role will be responsible for defining and governing statistical data exchange standards, data models, and metadata frameworks, ensuring alignment with international statistical standards and enabling seamless data interoperability across complex data ecosystems.

Key Responsibilities

SDMX Architecture & Data Standards

• Design and implement SDMX-based data models, structures, and exchange frameworks
• Define and manage:
• Data Structure Definitions (DSDs)
• Code lists and classifications
• Metadata and reference structures
• Ensure alignment with international standards such as SDMX, DDI, and statistical data exchange protocols

Statistical Data Modelling

• Develop and maintain statistical data models for economic and social indicators
• Ensure consistency with:
• International classifications (e.g. ISIC, HS, CPC)
• Global reporting frameworks
• Support definition of
  
  indicator catalogues and calculation methodologies

Data Integration & Interoperability

• Enable integration of multiple data sources into a standardised statistical framework
• Ensure interoperability across:
• Data platforms
• Reporting systems
• Analytical environments
• Support implementation of data exchange pipelines and APIs aligned to SDMX standards

Data Quality & Validation

• Define and implement:
• Data validation rules
• Quality assurance frameworks
• Outlier detection and consistency checks
• Ensure statistical integrity and reliability of outputs

Advisory & Governance

• Act as a subject matter expert on statistical standards and methodologies
• Support governance forums and provide guidance on:
• Data standards
• Metadata management
• Statistical compliance
• Contribute to development of methodology and standards documentation

Required Experience & Skills

Core Experience

• 10+ years experience in:
• Statistical data modelling
• Data management within large-scale or international environments
• Proven expertise in SDMX implementation and statistical data exchange standards
• Experience working on national or international data platforms or statistical systems

Technical & Domain Expertise

• Strong knowledge of:
• SDMX (DSDs, code lists, metadata structures)
• Statistical classifications and frameworks
• Data modelling and metadata management
• Experience with tools/languages such as:
• Python, R, SQL, or statistical tools (SPSS, Stata)

Highly Desirable

• Experience working with:
• International organisations (e.g. UN, World Bank, IMF, FAO)
• Experience delivering training and capacity building initiatives