Data Architect - Dubai, United Arab Emirates - RAKBANK

Description

RAKBANK, also known as the National Bank of Ras Al-Khaimah, is a Public Joint Stock Company based in the United Arab Emirates (UAE). It was founded in 1976 and is one of the oldest banks in the UAE. The Bank operates within retail and corporate banking, offering a range of services including personal and business banking, credit cards, loans, investment services, and wealth management.

In the recent years, the Bank has achieved significant milestones which includes being named as one of the world's best banks by Forbes ME and was awarded UAE's SME Bank of the year by the Asian Banking and Finance Awards. The Bank has been successful in achieving the highest profitability and lowest cost of risk since 2015. It has also seen significant growth in its acquiring business, card spending, and business loans.

Being on a transformational journey, in partnership with Honeywell, RAKBANK has also taken steps towards sustainability by reducing its overall energy consumption.

We are a diverse team comprising of over 3,000 employees from across 58 countries. We make conscious efforts to build talented and diversified teams and encourage people to develop their full potential. We are committed to providing a working environment that promotes work-life balance, career development, recognition and security for the future.

In line with our strategy, a major part of our transformation journey is to future proof our bank and establish ourselves as a 'Digital bank with human touch', for our customers.

So join us in co-creating the future of RAKBANK

What You Will Be Doing

• 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.

What You Should Have

• Ability to build and contribute to data streaming and batch ETL platform.
• Championing a Data-as-an-Asset mindset across the group; training the team.
• Provide technical oversight to solution delivery in creating business-driven solutions adhering to the enterprise architecture and data governance standards.
• Be an active contributor to how the bank evolves Data Governance practices and influence the adoption of data standards.
• Define and design – Information infrastructure, information life cycle associated to project.
• Support third party data suppliers in developing specifications that are congruent with the Enterprise data architecture.
• Be able to understand functional and non-functional ask and participate towards vendor selection and vendor awarding as applicable.
• Design and define various components of data pipeline that includes data integration, storage, processing and analysis of business data.
• Choose the right architecture that would solve the business problems.
• Communicate and translate the technical solution to the team and other stakeholders.
• Define standards and guidelines for the project and ensure team is following those.
• Collaborate with stakeholder's business teams, product owners in defining project roadmap.

What We Are Looking For

• 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

What's In It For You

• Pay for performance culture (Competitive and performance-linked compensation)
• Provision of medical care plan for your family and you
• Comprehensive Life insurance plan
• Diverse workforce and inclusive culture
• Career development and growth opportunities by design
• Work with the best minds in the field
• Get opportunities to bring your whole-self to the organization and perform to your best.