Understand the existing landscape, client capabilities and requirements and translate them into data solutions that meet the desired performance, scalability, and availability needs of the customer.
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Data Architecture Principles - Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.
Data Architect Minimum 8 years of experience in designing, implementing and maintaining large-scale database with minimum of 3 years being in
technical data architect role
ii. Responsible for data lake design and providing technical direction to data engineer, data analysts, data integration developers and database
administrators
iii. Provide input, monitor, and coordinate the project solution team across infrastructure, technical, and functional work streams
iv. Responsible for the quality assurance of all architecture and design deliverables (e.g. technical documents)
v. Responsible in preparing High Level Design (HLD) document
vi. Manage and monitor the program activities from Analyze to Deployment Phase
vii. Manage, highlight and resolve any design integration risks/issues with relevant business and stakeholder
viii. Experience in Big Data management & processing using tools such as Hadoop, Spark
ix. Experience in Data Transformation using ETL/ELT tools such as AWS Glue, Factory, Talend, EAI
x. Experience in database query using SQL
xi. Experience in database and data warehousing with SQL, NoSQL & RDBMS such as MS SQL, AWS DynamoDB, etc.
xii. Experience in Cloud Full Stack Resources and Services (Azure, AWS)
xiii. Have experience in Data Lake Architecture & Technology (i.e. Object Storage, Unstructured, etc.) and Data Virtualization (Denodo, Actifio, Atscale, Informatica, etc.)
8 years of working experience in any of below:
1) Microsoft SQL Database, Microsoft SQL Server, SQL
2) Data Management, Databricks
3) Databricks
Urgent Hiring: Data Architect Position for Banking Domain
Our banking client is urgently seeking a skilled Data Architect to join their team. This critical role involves shaping the data infrastructure and architecture to drive innovative solutions in the banking sector.
As a Data Architect, you will play a pivotal role in designing and implementing data models, integrating systems, and ensuring data quality and compliance. The ideal candidate will have a strong understanding of banking operations, data management principles, and industry regulations.
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Lead the overall data architecture and ecosystem design and solution to be developed over the coming years.
Responsible to understand the existing enterprise data asset and create enterprise data governance and strategy to substantiate the implementation roadmap in multiple stages and priorities to enable data access, business intelligence and advanced analytics.
Provide subject matter expertise in data & information technology and architecture.
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Data Architecture is the core of every well-established Data lifecycle process. Participate in developing and creating schemas and strategies in implementing various roadmaps and procedures for a High performing listed company.
Client Details
With key expertise in equity broking, investment banking, treasury and many others, our client is the largest investment bank in Malaysia with more than 50 years of experience in the market.
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Our client is seeking a highly skilled and experienced Data Architect to join their dynamic IT Architecture team. This role offers the opportunity to influence business objectives and goals through the management of IT architecture solutions, specifically focusing on enterprise data and data architecture. The successful candidate will be responsible for managing communication with multiple stakeholders, including IT teams, third-party vendors, and senior leadership.
As a Data Architect, you will play a pivotal role in managing and optimising data delivery in line with Data Architecture requirements. You will ensure effective delivery with cost efficiency and total quality, defining action plans that align with the IT strategy. Your responsibilities will also include managing enterprise data availability, resolving issues promptly, and governing best practices for data modelling. A key part of your role will involve managing relationships with various stakeholders, including the senior leadership team, managers, vendors, business partners and Group IT.
Manage and optimise data delivery aligned to Data Architecture requirements
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As a Data Architect Intern, you will play a crucial role in shaping our data infrastructure and strategy. You will work closely with our data engineering and analytics teams to design, implement, and optimize data models and architectures that support our business objectives
Work with Business Analytics team for Transaction Banking in the Asia Pacific region in line with business strategies and KPI. Collaborate with cross-functional teams to understand data requirements and translate them into technical specifications.
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At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
We are the only professional services organisation who has a separate business dedicated exclusively to the financial services marketplace. Join Financial Services (FSO) and you will work with multi-disciplinary teams from around the world to deliver a global perspective. Aligned to key industry groups including asset management, banking and capital markets, insurance and private equity, we provide integrated advisory, assurance, tax, and transaction services.
Work with Business Analytics team for Transaction Banking in the Asia Pacific region in line with business strategies and KPI. Collaborate with cross-functional teams to understand data requirements and translate them into technical specifications.
Assist in designing and implementing data architectures, including databases, data warehouses, and data pipes. Create and analyze various data necessary for monthly regular reports such as Profit, Exposure etc.
Modify and develop Dashboards to analyze data by combining various data sources to provide in-depth and effective understanding of Transaction Banking progress and trends.
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