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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.
Job Responsibility:
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
Requirements:
Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
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)
Fluent spoken and written English is a must
Nice to have:
Experience within the RC/RC Movement and/or international humanitarian or development organisations
Experience in designing complex data AI workflows
Data modelling, statistics
Knowledge on applying artificial intelligence techniques, such as machine learning
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