Data Architect

Job Overview

Visits: 1

Data Architect

Data Architect

Grade: P4
Contractual Arrangement: Fixed-term appointment
Contract Duration: 2 years
Job Posting: Mar 25, 2024, 4:35:21 PM
Closing Date: Apr 16, 2024, 12:59:00 AM
Primary Location: Germany-Berlin
Organization: HQ/WHE WHO Health Emergencies Programme HQ
Schedule: Full-time

OBJECTIVES OF THE Program
The mission of WHO’s Health Emergencies Programme is to build the capacity of Member States to manage health emergency risks and, when national capacities are overwhelmed, to lead and coordinate the international health response to contain outbreaks and to provide effective relief and recovery to affected populations. The Health Emergency Intelligence and Surveillance Systems division (WSE) is responsible for building a system of collaborative intelligence that enables better decisions to avert and manage public health threats and risks. Its goal is to enable, strengthen, and support countries, regional actors, and global actors in averting and managing public health threats and risks through collaborative problem-solving and decision-making for short-term action and long-term policies, informed by better data and analytics. The WHO Hub for Pandemic and Epidemic Intelligence, located in Berlin, works with partners to enable the generation of relevant public health information to provide timely actionable insights and improve decision-making to prepare for, avert, and respond to public health threats. It aims to reduce fragmentation and inefficiency by creating an ecosystem that promotes collaboration across multiple professional disciplines, sectors, and initiatives and empowers decision-makers, public health professionals, and civil society to make informed public health decisions.

DESCRIPTION OF DUTIES

  • Collaborate with internal and external stakeholders to identify data requirements and design, create, and implement data solutions that support business processes and needs.
  • Analyze the data needs of the department and stakeholders, and evaluate and select data integration tools that are best suited for those needs.
  • Analyze and optimize data storage and retrieval.
  • Design, develop, evaluate, implement, and maintain algorithms and methods for data mapping, transformation, processing, analysis, and querying.
  • Develop and implement data integration strategies, data models, data dictionaries, data standards and guidelines, and data mapping processes to ensure data consistency, accuracy, and alignment with departmental objectives.
  • Identify areas for data quality improvements and work with stakeholders to implement solutions while ensuring data privacy and security through appropriate security measures.
  • Develop and maintain documentation of the data architecture, data integration strategies, and data governance policies and procedures.
  • Monitor and evaluate data management systems to ensure they are meeting business needs and complying with any relevant regulatory requirements.
  • Advise on best practices and emerging trends in data management.
  • Work with others on the team and subject matter experts to identify relevant data sources for integration into models and algorithms.
  • Develop strategies for integrating and managing data across different sources and formats.
  • Stay up-to-date with the latest developments in data systems, data federation, and related technologies.
  • Perform other related duties as assigned, including replacing and backstopping others as required.

REQUIRED QUALIFICATIONS

Education

  • Essential: an advanced-level university degree (Masters or higher) in information technology, computer science, or a related field, and certifications in technologies related to data modeling, data architecture, data transformation, data analytics, and other relevant topics (e.g., CDMP, CAP).
  • Desirable: Certifications in project management, artificial intelligence, and cloud technologies.

Experience

  • Essential: A minimum of 7 years of relevant professional experience in a data architect or similar role, designing and implementing data solutions in complex environments on an international scale. Demonstrated experience integrating and managing large volumes of data across different sources and formats. Demonstrated experience with data management, data modeling, and data integration technologies. Demonstrated experience working with cloud and big data technologies. Demonstrated exposure to working with a variety of stakeholders in complex international contexts involving technical, cultural, and political elements.
  • Desirable: demonstrated experience in the public health domain.

Skills

  • Ability to design and create data models that reflect business processes and needs.
  • Strong skills in data integration techniques and tools to enable seamless transfer of data between systems.
  • Extensive knowledge of data governance policies, procedures, and best practices for ensuring data accuracy, consistency, and security.
  • Strong knowledge and expertise in the use of diverse large-scale database management systems.
  • Strong knowledge of data warehousing concepts, including ETL (extract, transform, and load) processes, data marts, and data warehouses.
  • Strong skills with business intelligence and analytics tools and techniques for analyzing and interpreting large volumes of data to derive insights and inform decision-making.
  • Strong knowledge of data security technologies and best practices for protecting sensitive and confidential data.
  • Proficiency in programming languages such as Python, Java, or C++ and experience with scripting languages such as PowerShell or Bash (particularly for data wrangling).
  • Strong knowledge of cloud computing platforms, such as AWS or Azure, and experience with cloud-based data storage and processing technologies.
  • Strong communication, collaboration, and project management skills.
  • Deep understanding of data management principles and technologies.
  • Excellent problem-solving, analytical, and critical thinking skills are needed to design and implement effective data solutions.
  • Ability to work independently and in a team environment.

WHO Competencies

  • Teamwork
  • Respecting and promoting individual and cultural differences
  • Communication
  • Producing results
  • Knowing and managing yourself

Use of Language Skills

  • Essential: Expert knowledge of English.
  • Desirable: intermediate knowledge of French. Intermediate knowledge of another WHO language (Arabic, Chinese, Russian, or Spanish).

REMUNERATION
WHO salaries for staff in the professional category are calculated in US dollars. The remuneration for the above position comprises an annual base salary starting at USD 77,326 (subject to mandatory deductions for pension contributions and health insurance, as applicable), a variable post adjustment, which reflects the cost of living in a particular duty station, and currently amounts to USD 3145 per month for the duty station indicated above. Other benefits include 30 days of annual leave, allowances for dependent family members, home leave, and an education grant for dependent children.

 

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