Data Platform Architect

<!–

Description

–>

• 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.

• 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.

• 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.

• 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.

• 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.

• 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. 
• 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)

• Experience within the RC/RC Movement and/ or international humanitarian or development organisations.

• 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

<!—

<!–

–>