Data Platform Architect
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Summary
Budapest, HUN
OnSite
Senior
Introduction
Our partner is the world's largest humanitarian network, which has been carrying out its activities successfully around the world for more than 100 years. They are continuously working on further succession with the help of a dedicated workforce, so their Digitalization and IT Department is now expanding to further support global projects and core activities.
Description
The Data Platform Architect is responsible for designing, building, and maintaining the data platform infrastructureand architecture within the global organization. This role involves understanding the strategic requirements, selectingappropriate technologies, and developing scalable and reliable data platform solutions to enable data ingestion,storage, processing, and advanced analytics including AI. Job duties and responsibilities1. Data Platform Strategy and Architecture:o Develop, continuously review and maintain the organization's data platform strategy and roadmap.o Define the overall architecture, components and technologies required for the data platform to supportthe internal and external organizational needs.o Align the design of data processes and applications to the principles of a common data model.o Identify and evaluate emerging data technologies and trends (including AI) to inform architecturaldecisions.2. Data Governance and Security:o Support the Data Manager in developing and implementing a data governance framework and relatedpolicies to ensure compliance with data regulations, security and privacy requirements, as well as theuptake and use of the data platform.o In collaboration with DTD colleagues, implement data security measures, including data access controls,encryption, and data masking.o Monitor and optimize data platform performance and availability, including disaster recovery andbackup strategies.3. Data Processing and Analytics:o Design and implement data processing frameworks and pipelines to transform and analyze data atscale.o Select and configure appropriate processing technologies, such as distributed computing platforms,data processing frameworks, and streaming systems, in order to optimize efficiency and costs.o Collaborate with data analysts and data scientists to ensure the platform supports advanced analyticsand machine learning/AI workloads.4. Data Ingestion and Integration:o Design and implement robust data ingestion processes to acquire data from various sources (internaland external).Confidential - Not Protectedo Support internal teams in the design of data integration patterns and technologies to ensure smoothdata flow into the platform.5. Data Storage and Management:o Determine appropriate data storage technologies and structures (e.g., databases, data lakes, objectstorage) based on the organization's needs, and design appropriate storage solutions.6. Collaboration and Stakeholder Management:o Collaborate with cross-functional teams, including data engineers, data scientists, and businessstakeholders, to understand their requirements and align the data platform architecture accordingly.o Act as a subject matter expert on data platform architecture and provide guidance and support to thedevelopment team.o Facilitate communication and knowledge sharing among technical and non-technical stakeholders.7. Contribute to an effective, high quality IFRC team:o Support the unit manager with regular progress reports on results against objectives andresponsibilities.o Work in close consultation and develop partnerships with colleagues with data roles across thesecretariat in Geneva and in the regions.Duties applicable to all staff1. Work actively towards the achievement of the IFRC Secretariats goals.2. Abide by and work in accordance with the Red Cross and Red Crescent principles.3. Perform any other work-related duties and responsibilities that may be assigned by the line manager.
Tasks
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.
Expectations
Education required
- Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
Experience required
- 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 English
Employer's offer
• Supplementary health insurance (Medicover, Spring White Package)
• 15 days of fully paid sick leave/ calendar year
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