Senior Architect, Data Platform
Ankara | New Delhi | Bucharest | Budapest
- Organization: IFRC - International Federation of Red Cross and Red Crescent Societies
- Location: Ankara | New Delhi | Bucharest | Budapest
- Grade:
-
Occupational Groups:
- Statistics
- Communication and Public Information
- Information Technology and Computer Science
- Closing Date: 2025-07-24
Organizational Context
Job Purpose
The Data Platform Architect is responsible for designing, building, and maintaining the data platform infrastructure and architecture within the global organization. This role involves understanding the strategic requirements, selecting appropriate technologies, and developing scalable and reliable data platform solutions to enable data ingestion, storage, processing, and advanced analytics including AI. The Data Platform Architect collaborates with cross-functional teams to ensure the availability, performance, and security of the data platform adhering to best practices and industry standards. This role ultimately defines the global platform architecture strategy and its common principles and elements, to be implemented across the entire IFRC network.
Job Duties and Responsibilities
- Data Platform Strategy and Architecture:
- Develop, continuously review and maintain the organization's data platform strategy and roadmap.
- Define the overall architecture, components and technologies required for the data platform to support the internal and external organizational needs.
- Align the design of data processes and applications to the principles of a common data model.
- Identify and evaluate emerging data technologies and trends (including AI) to inform architectural decisions.
- Data Governance and Security:
- Support the Data Manager in developing and implementing a data governance framework and related policies to ensure compliance with data regulations, security and privacy requirements, as well as the uptake and use of the data platform.
- In collaboration with DTD colleagues, implement data security measures, including data access controls, encryption, and data masking.
- Monitor and optimize data platform performance and availability, including disaster recovery and backup strategies.
- Data Processing and Analytics:
- Design and implement data processing frameworks and pipelines to transform and analyze data at scale.
- Select and configure appropriate processing technologies, such as distributed computing platforms, data processing frameworks, and streaming systems, in order to optimize efficiency and costs.
- Collaborate with data analysts and data scientists to ensure the platform supports advanced analytics and machine learning/AI workloads.
- Data Ingestion and Integration:
- Design and implement robust data ingestion processes to acquire data from various sources (internal and external).
- Support internal teams in the design of data integration patterns and technologies to ensure smooth data flow into the platform.
- Data Storage and Management:
- Determine appropriate data storage technologies and structures (e.g., databases, data lakes, object storage) based on the organization's needs, and design appropriate storage solutions.
- Collaboration and Stakeholder Management:
- Collaborate with cross-functional teams, including data engineers, data scientists, and business stakeholders, to understand their requirements and align the data platform architecture accordingly.
- Act as a subject matter expert on data platform architecture and provide guidance and support to the development team.
- Facilitate communication and knowledge sharing among technical and non-technical stakeholders.
- Contribute to an effective, high quality IFRC team:
- Support the unit manager with regular progress reports on results against objectives and responsibilities.
- Work in close consultation and develop partnerships with colleagues with data roles across the secretariat in Geneva and in the regions.
Job Duties and Responsibilities (continued)
Duties applicable to all staff:
* Work actively towards the achievement of the IFRC Secretariat’s goals.
* Abide by and work in accordance with the Red Cross and Red Crescent principles.
* Perform any other work-related duties and responsibilities that may be assigned by
the line manager
Education
Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
Experience
Mandatorily Required :
A minimum of 8 years of progressively responsible postgraduate experience in data platforms management and architecture.
Proven experience as a Data Platform Architect
Strong knowledge of data platform technologies, including data ingestion, storage, processing, and analytics
Proficiency in database design, data warehousing, and data integration concepts
Proficiency in cloud platforms and technologies, such as AWS, Azure, or Google Cloud. Azure and Microsoft system highly preferred.
Experience with big data technologies, such as Hadoop, Spark, and distributed storage systems.
Familiarity with data governance, data security, and data privacy regulations (e.g., GDPR, CCPA).
Preferred Experience :
Experience within the RC/RC Movement and/ or international humanitarian or development organisations.
Experience in designing complex data AI workflows
Knowledge, Skills and Languages
Languages:
Fluent spoken and written English is mandatorily
Preferably Good command of another IFRC official language (French, Spanish or Arabic).
Knowledge:
Strong leadership skills to lead data professionals in data platform architecture and engineering work.
Strong strategic and conceptual thinking; setting meaningful, long-term vision and strategy, consider long-term potential, propose challenging strategic goals.
Propensity for embracing change and ambiguity: anticipate emerging conditions and demands, embrace widespread organisational change, navigate complex dynamics, view uncertainty and disruption as an opportunity.
Ability to drive results, and create culture that fosters proactive action, actively prioritize, set high standards.
Developing others: Push autonomy and empowerment, view people development as imperative, create culture of accountability.
Data products development, business value development, data product deployment, and resource mobilization.
Strong presentation, written and oral communication skills.
Able to network effectively and influence and inspire others including peers, the membership and other stakeholders
Focused on quality and standards, results, and accountability
Excellent interpersonal skills; proven people’s management skills (staff and consultants), including conflict resolution.
Proven training, knowledge transfer and supervisory skills as part of the people’s management.
Proven teamwork and trust-building skills, including development of effective and efficient networks and partnerships within and outside of the organization.
Proactive approach to finding creative and constructive solutions to difficult issues.
Knowledge of Data modelling, statistics is preferred
Knowledge on applying artificial intelligence techniques, such as machine learning would be preferred
Competencies, Values and Comments
Values: Respect for diversity; Integrity; Professionalism; Accountability
Core competencies: Communication; Collaboration and teamwork; Judgement and decision making; National society and customer relations; Creativity and innovation; Building trust
Functional competencies: Strategic orientation; Building alliances; Leadership; Empowering others
Applications from non-qualifying applicants will most likely be discarded by the recruiting manager.