An exciting opportunity to join our client's team at a global organization with Headquarters in Switzerland , as a Senior Data Platform Architect .

Objectives

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 organizational network.

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.

Qualifications

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
• What our client is offering
• A competitive remuneration and attractive benefits.
• Access to highly skilled experts to bring you the latest in learning and development with training in leadership, technical and personal development.
• A flexible working environment.
• Continuous learning and improvement activities.
• Dynamic, international working environment.

Equal Opportunity Employer

RSight® is an equal opportunity employer and values diversity in the workplace. We encourage all qualified individuals, including those from diverse backgrounds and people with disabilities, to apply.

Application Instructions

Please submit your resume (mandatory) outlining your qualifications and interest in the position. Only candidates selected for interviews will be contacted.