• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

The world’s largest humanitarian organization, with a network of 192-member National Societies. The overall aim of the organization is “to inspire, encourage, facilitate, and promote at all times all forms of humanitarian activities by National Societies with a view to preventing and alleviating human suffering and thereby contributing to the maintenance and promotion of human dignity and peace in the world.” The organization works to meet the needs and improve the lives of vulnerable people before, during and after disasters, health emergencies and other crises.

We are looking for their growing DATA and AI team Data Platform Engineer and Data Platform Architect colleagues.

Education
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.

Experience
• A minimum of 5 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 within the RC/RC Movement and/ or international humanitarian or development organisations.
• Experience in designing complex data AI workflows

Knowledge and skills
Required
• 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 mobilisation.
• 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 organisation.
• Proactive approach to finding creative and constructive solutions to difficult issues.
Preferred
• Data modelling, statistics.
• Knowledge on applying artificial intelligence techniques, such as machine learning.

• Fluent spoken and written English is a must

• cafeteria benefits
• medical insurance
• personalized home office options
• frequent opportunities to travel globally