Purpose of the job
The Data Architect will be responsible for the design of the bank’s logical data architecture, and physical data architecture while ensuring alignment with the data management strategy. They will apply their knowledge of leading architecture practice, architecture documentation and data technologies to comprehensively capture the bank’s current state data architecture and oversee target state design and implementation.
Key accountabilities not limited to:
- Establish the strategy and roadmap activities for data architecture ensuring alignment to the overall business strategies and data governance initiatives, while ensuring the strategy supports the current and future business needs
- Define data architecture standards, guidelines, best practices to ensure data integrity across the business
- Engage the business units to capture the data requirements and translate this into data architecture specifications
- Documenting the conceptual, logical and physical data architecture for the current state
- Design target state data architecture by defining and governing how data is acquired, integrated, stored, consumed, and managed throughout the bank, resulting in data models, data storage structures, data integration mechanisms, and data flows
- Manage holistic roadmap of architecture change initiatives across the bank, coordinating requirements across different initiatives
- Define and maintain the meta-data architecture that governs how meta-data is created, integrated, controlled and accessed and design enterprise taxonomies and namespaces to organize enterprise data
- Build and maintain appropriate enterprise architecture artefacts including entity relationship models, data dictionary, taxonomy to aid data traceability
- Design effective database solutions and models to store, process, utilize and retrieve bank data
- Examine and identify database structural necessities by evaluating Bank operations, systems and projects
- Prepare accurate database design and architecture reports to various stakeholders for data security, system optimization and planning
- Develop data migration and streaming strategies to evolve bank architecture and efficiently move data throughout the company
- Collaborate with IT and the Enterprise Data Management Office to ensure requirements for data governance, data quality, metadata management, data lineage and security are captured within the data architecture initiatives
- Monitor the architecture and system performance by undertaking regular tests, troubleshooting, and proposing new features to ensure optimum performance and accurate extraction of data
- Be a key stakeholder and advisor in all new strategic data initiatives and ensure alignment to the enterprise-wide data strategy
- Participate in IT quality assurance programs to check on compliance to the enterprise architecture and data governance standards
- Develop key performance measures for data integration
- Participate in the evaluation and selection of data management tools and technologies
Experience:
- Demonstrate experience with data management in data warehouse, ETL, and real-time streaming
- Demonstrate experience working with data models and designing entity relationship diagrams (ERD)
- Extensive experience in architecting and implementing enterprise data warehouse, master data management, data integration and data management platforms
- Experience with Oracle DB, PostgreSQL and MySQL is desirable
- Experience of mapping key enterprise data entities to business capabilities and applications
- Experience in Temenos (T24) core banking platform and Temenos Data Lake preferred will be an added advantage.
Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, Engineering or a related field of study
- In-depth knowledge of programming & scripting languages such as Java, Python, C++, JavaScript and/or PHP
- TOGAF certification will be an added advantage
- Certifications in industry data governance related programs such as Certified Data Management Professional (CDMP) or Certified Information Management Professional (CIMP)
Knowledge:
- Strong knowledge of industry best practices around data architecture in both cloud-based and on-prem solutions
- Comprehensive knowledge of data warehousing and data transformation (extract, transform and load) processes and the supporting technologies such as data lakes and other analytics products
- Knowledge of streaming and ETL technologies such as Apache Kafka, Cassandra, MongoDB, or Informatica
- Detailed understanding of Temenos architecture, customization, and parametrization techniques is added advantage
Expression of Interest
- Bank of Kigali Plc is an equal opportunities employer and is committed to the full inclusion of all qualified candidates. Women are encouraged to apply.
- Submit your CV to recruitment@bk.rw by 15th January 2024.
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