Data Platform Architect

International Federation of Red Cross and Red Crescent Societies

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Description

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The Data Platform Architect is responsible for designing, building, and maintaining the data platform infrastructure and architecture within an organization. This role involves understanding business requirements, selecting appropriate technologies, and developing scalable and reliable data platforms to enable data ingestion, storage, processing, and analysis. The Data Platform Architect collaborates with cross-functional teams to ensure the availability, performance, and security of the data platform while adhering to best practices and industry standards.

Job Duties and Responsibilities:

Data Platform Strategy and Architecture:

  • Develop and maintain the organization’s data platform strategy and roadmap.
  • Define the overall architecture, components, and technologies required for the data platform. o Identify and evaluate emerging data technologies and trends to inform architectural decisions.
Data Ingestion and Integration:
  • Design and implement robust data ingestion processes to acquire data from various sources (internal and external).
  • Define data integration patterns and technologies to ensure smooth data flow into the platform.
  • Establish data quality checks and validation mechanisms during the ingestion process.
Data Storage and Management:
  • Determine appropriate data storage technologies and structures (e.g., databases, data lakes, object storage) based on the organization’s needs.
  • Design and implement scalable and reliable data storage solutions.
  • Develop data management strategies, including data partitioning, indexing, and archiving, to optimize performance and storage efficiency.
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.
  • Collaborate with data analysts and data scientists to ensure the platform supports advanced analytics and machine learning workloads.
Data Security and Governance:
  • Define and implement data security measures, including data access controls, encryption, and data masking.
  • Establish data governance frameworks and policies to ensure compliance with data regulations and privacy requirements. o Monitor and optimize data platform performance and availability, including disaster recovery and backup strategies.
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.
Education:
  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
Experience:

Required 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. 
  • 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.
  • Knowledge, Skills and Languages
Required experience:
  • 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.
  • Fluent spoken and written English
Preferred
  • Data modelling, statistics.
  • Knowledge on applying artificial intelligence techniques, such as machine learning.
  • Good command of another IFRC official language (French, Spanish or Arabic).

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