Data Architect | CBQ
Full TimeBookmark Details
Commercial Bank of Qatar
Req ID: 6764
Qualification & Experience:
- Bachelor’s degree in Computer Science or equivalent
Skills
- Ability to interact with internal and external stakeholders
- Ability to work under pressure
- Accuracy and attention to detail
Skills and Experience:
- Experience Develop large scale distributed storage systems intersecting Payments Strategy and Data Processing Platforms, Microservices architectures, and reliable monitoring and deployment infrastructure.Strong verbal and written skills, especially around code documentation
- Ability to work in a team environment, independently, take direction, and follow instruction.Exposure and experience in Distributed Architecture, Event driven Architecture, Microservices, Confluent Kafka, OpenAPI, Java, Java (Spring Boot) and Cloud Native solutions based on Kubernetes or OpenShift.Demonstrated Experience in World Wide Payment Processing Platforms or intersecting with it:
- Participating in the development & review of business & system requirements to obtain a thorough understanding of business needs in order to deliver accurate solutions
- Facilitating design & development solutions/ initiatives involving mapping of business requirements and leading in-depth evaluation of customer feedback to execute modifications in the solution
- Coordinating for test planning & designs for various projects and successfully leading Functional, System, Integration Test.
- Defining the strategies, technical architecture and evaluation and inclusion of new technology for implementation and operations of client services, product support, quality assurance and trainingStrong in DevOps concepts and should be capable to work in DevOps implementation.
Competencies:
- Adaptability/Flexibility
- Creativity/Innovation
- Decision Making/Judgment
- Dependability
- Initiative
- Integrity/Ethics
- Problem Solving/Analysis
Job Summary:
Commercial bank is looking to hire a Data Architect .The Data Architect will have relevant experience of 12+ years and work in the analysis, development , implementation and support of Data Architectures, Data Processing Platforms and technologies by effectively mapping the business requirements on top of those, supporting Initiatives in initiation for apply principles and patterns related with the domain preserving principles for keep Data Availability, improve Data Quality, prevent gaps in Data Glossary and Lineage, provide adequate Data Processing approach, segregating vs consolidating Upstreams and downstream integrity when integrated and follow Data Governance processes.
Is key role in order to support the creation a coherent roadmap providing the busines capability mapping as part of the Data Architecture Domain, the link with Delivery and Business Teams is crucial for the organization providing the proper impact analysis in order to keep the business continuity of the Bank in regards of informational and operational landscape as a part of the mentioned roadmaps.
Key Accountabilities:
Define, refine, divulgate and govern Data Architecture foundations, principles from Abstract to Specific.
Contribute to the overall Enterprise Architecture in relation of the Data Strategy of the bank and support Architecture Board for evaluate the initiatives and be main responsible and accountable in regards of key cross functions like Data Governance and Engineering Team and Data Scient Team as well as Domain Specific Teams for accommodate the Change like Core Banking, Cards, Customer Insights
Other Accountabilities:
Coordinate with the Governance & Engineering, Data Science and IT Domains teams to identify future needs and requirements
Able to articulate the information flows and High Level Design sections around it, indicating the As-is architecture, the TOBE Architecture and the Transitional Architectures required for ensure the Stability of Data Processing, Data Governance, Data Quality platforms, selecting the proper technology for accommodate business requirements.
Document High Level Designs (HLD) providing the E2E view for Information Flows, requesting the Low Level Designs (LLD) are supporting the HLD in order to ensure delivery teams follow the strategy and principles.
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