Data Architect
At a glance
Mid-level Data Architecture & Governance role at National Bank of Kenya. Kenya · full-time.
Pay not stated Data Architect salary
dataroles summary, based on the employer's posting.
What you'll do
- Shape information architecture plans and design blueprints around business needs, then map out how they will be built and maintained
- Gather business needs through interviews, workshops and workflow analysis, and turn them into documented requirements
- Create shared data designs across programs, promoting reuse and aligning project integrations with enterprise standards
- Guide delivery teams on data governance, architecture dependencies and sequencing business priorities into technology work
- Build data models and assess current systems for information gaps, while evaluating new data management and analytics technologies
What you bring
- A bachelor’s degree in computer science, computer engineering, information technology or another related field
- At least seven years of technical experience, including five years focused on data or software architecture and related disciplines
- Five years across at least three IT areas, such as application architecture, data architecture or integration architecture
- Five years working with operating and database systems, including Windows or Unix
Who this fits
This mid-level, full-time role is based on-site in Kenya. It suits someone who can connect business priorities with enterprise data architecture and guide engineering teams on shared solutions.
From the employer
The holder of this role will be responsible of developing and aligning information architecture strategy with business processes and goals and applying best practices in areas such as data definitions and stewardship, information lifecycle management, big data, integrated data security, and unified collaboration. He/She will ensure different stakeholders have the timely, reliable and secure information they need to react quickly to market changes and manage the business effectively
KEY RESPONSIBILITIES- Provide information strategy and architecture for the Bank that meets business and enterprise needs, and to deliver design blueprints/artefacts that enable that architecture to be built and operated, as well as appropriately validated roadmaps.
- Design and guide the building of consistent cross functional solutions that are robust in answering deliverables that build enterprise data solutions regardless of technology or data platform.
- Analyzing and documenting requirements- Elicit business requirements using interviews, analysis, requirements workshops, surveys, site visits, business process descriptions, use cases, scenarios, business analysis, task and workflow analysis.
- Develop and maintain all architectures that impact the Information Architecture of the Bank, incorporating the management of structured and unstructured data standards, roadmaps, patterns and methodologies for all business solutions and technologies
- Ensure that all solutions leverage, and consider enterprise data solutions that provide as much reuse benefit across multiple programs as feasibly possible
- Provide the leadership in breaking down, planning and sequencing the business vision & strategy into technology deliverables and mapping to data needs. Liaise with program or data platforms leadership to report and plan solution dependencies
- Provide data engineering and data solution governance around the programs and engineering teams to ensure build components adhere to defined cross program solutions
- Evaluate and recommend emerging technologies for data management, storage, and analytics such as IoT, Big Data, Artificial intelligence, Machine Learning etc.
- Facilitate the identification and analysis of the Bank’s business drivers to deliver enterprise business, information, technical and solution architecture requirements.
- Assess the current Business framework to detect critical data deficiencies and recommend for improvement in line with the IT strategy and delivery priority of the IT/Bank programs.
- Coordination of integration architecture ensuring alignments of discrete project-based integration solutions with enterprise integration architecture principals, patterns, and standards.
- Develop conceptual, logical, and physical data models to support data analysis and business intelligence
- Participate in the IT quality assurance process. 1. sired future state
Academic & Professional
Particulars
Detail
Specific Field or Qualification
Need Type4
Education
Bachelor’s Degree
Bachelor's degree in Computer
Science, Computer Engineering, Information Technology or a related field of study
RQ
Professional Qualifications
TOGAF, CBAP
AA
Project Management/ Scrum Certifications
PRINCE II/PMP/MSP/SMC/CSM/PMI-ACP
DE
Experience
Detail
Minimum No of Years
Need Type[1]
Total Minimum No of Years’ Technical Experience Required
7
RQ
Information Technology with focus Data Analysis, Data systems, Data models, Data Governance, data Architecture, Applications Architecture and /or Software Development
5
RQ
Experience in at least three of the following IT disciplines such as (Application architecture, Data Architecture, Integration
architecture, application development, middleware, Microservices) in a multitier environment.
5
RQ
Operating and database systems (windows, Unix)
5
RQ
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