banking jobs in UAE | RAKBANK careers

 banking jobs in UAE | RAKBANK careers

RAKBANK announced, through its Linkedin account, a bank job in uae (Data Architect) according to the following:

• Create consolidated data model in a sustainable, scalable manner and design various ETL processes defining data flows across data stores/systems.
• Defining the data architecture framework, standards and principles including modeling, metadata, and security.
• Develop and evolve the enterprise-wide data strategy to support the delivery of organizational objectives.
• Building Data solution aligned with Target Data Architecture and implementation data architecture principles and standards within the bank.
• Architecting Customer Event Streaming, data contextualization and real-time analytics platform.
• Be a key stakeholder and advisor in all the new strategic data initiatives and ensure alignment to the enterprise-wide data strategy.
• Build a framework of principles to ensure data quality, integrity across the business (including but not limited to core, payments, Digital Banking, Customer 360, BI, Data warehouse, external interfaces, etc.)
• Ensure that the Data Architecture strategy and roadmap are aligned to the business and technology strategies.
• Exploring data sources to understand whether they can add value to products.
• Design platform that will improve data quality, metadata management, data governance and ensure driven by data principles.
• Defining best practices and patterns for data ingestion and transformation.
• Working with the data engineers to ingest, transform, and provision new data and contribute data architecture for digital analytics, real-time event sourcing, data contextualization, and running AI models.
• 10-12 years of working experience as Data Architect.
• Experience in Big data platforms and distributed computing (e.g. Hadoop, Map/Reduce, Spark, NOSQL systems, Hive).
• Experience in cloud data platforms and building architecture that leverages the cloud.
• Experience in Data Quality Assessment (profiling, anomaly detection) and data documentation(schema, dictionaries)
• Experience in data architecture, data warehousing and modelling techniques (relational, ETL/ELT, and OLTP) and consider performance alternatives.
• Technical expertise regarding data models and warehouse design.
• Cloud Architects certification from public cloud providers like AWS, Azure etc. 
• TOGAF certification 
• Certification on Virtualization and related technology.

To know more details about the vacancy and how to apply kindly check the link below:

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