Enterprise Data Architect

About Our Client 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. Job Description

• 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.
• Define the policy, processes and procedure to govern data flow, aggregation, data quality, cleansing.
• Create scalable data lake solution and data ingestion pipeline for landing of raw data.
• Devise the data modelling tool that can track version and evolve with business landscape changes.

• Degree in IT Engineering or equivalent
• Must have minimum 8 years working experience in IT architecture solution design or technology related role.
• Possess wide technical knowledges and architecture design experience on Datalake, data warehousing and data ingestion pipeline.
• Deep understanding with ETL technology and able to design enterprise datalake solution
• Understanding RMIT and industry generally accepted compliance and corresponding implementation in cloud will be advantages.
• Good to have Azure cloud knowledge and hand on experience to implement data application on Azure.

• An opportunity to work with the largest independent investment bank
• Be a part of a dynamic and fast-paced team with exposure to large scale projects
• A pioneer role with high job autonomy and involvement in a decision making process