Vice President, Data Architect (Job ID:10074160)

MUFG Bank, Ltd; Singapore; On-site; SGD 100,000 - 160,000; Full time

Job summary

A leading bank in Asia seeks a Data Architect to lead the design of data and analytics architecture, enhancing their data-driven operations. The ideal candidate will have at least 10 years of experience in data architecture within the banking sector, with a focus on modern AI, analytics, and cloud technologies. Responsibilities include defining data frameworks, collaborating with security teams, and ensuring adherence to best practices in data governance. This is an excellent opportunity to influence data strategy at a regional level.

Qualifications

• Minimum 10 years in data architecture within banking.
• 6+ years in modern AI, analytics, and big data technologies.
• Experience with data warehouse and Data Lake technologies.

Responsibilities

• Lead design of data and analytics architecture.
• Define data management and governance framework.
• Collaborate with security teams for data policies.

Skills

Data architecture in banking

Modern AI and analytics

Cloud platforms

Data governance

Data modeling techniques (Kimball)

Machine Learning toolsets

Data transformation/integration

Data streaming technology

Data virtualization technology

Technical documentation and project management

Tools

Microsoft Fabrics

Amazon Redshift

Azure Synapse

Google BigQuery

Snowflake

Tableau

PowerBI

Kafka

Denodo

Job description

Overview

The successful candidate will work under the Regional Enterprise Architecture Department. He/She will lead the design and development of Data and Analytics Architecture, and promote data driven culture. He/She will formulate the Organization’s data management and governance strategy, policies, and standards to support the short-term and long-term data strategic plan, investment, and data enterprise architecture roadmap.

Responsibilities

• Design and develop modern data and analytics platform
• Design and develop Data and Analytics architecture blueprint, Policy, Standards and Procedures for the organization.
• Define data management and governance framework.
• Design solution architecture across specific business applications or technologies based on enterprise business strategy, capabilities, and requirements.
• Collaborate with security and risk teams to develop/update/promote Data Security Policies and Standards which are aligned to Organization’s Security Procedure and Practices.
• Provide consulting support to Project’s business/application/Technology Architects to ensure solution’s alignment to overall Data Enterprise Architecture Policy and Standards.
• Understands technology trends and its practical application to existing and emerging technologies to enable new and evolving business and operation models.

Job Requirements

• Minimum 10 years of data architecture experiences in the banking industry.
• Minimum 6 years of experience in modern AI, analytics, big data and associated technologies, cloud platforms, data quality, governance, data strategy and architecture
• Minimum 6 years of experience in design and implementation of modern data warehouse and Data Lake/Big Data Technology such as Microsoft Fabrics, Teradata, Amazon Redshift, Azure Synapse, Google BigQuery, Snowflake, Databricks, Oracle DW, Cloudera.
• Deep understanding of Modern Data Platform
• Experience in developing Data Enterprise Architecture Policy, Standards and Procedures for global bank.
• Experience in designing complex Data Architecture Design.
• Experience in developing Data Governance model for data Profiling, data quality, data catalogue, data tagging, data glossary and data lineage
• Deep understanding in Data Management framework with strong focus on Data availability, quality, integrity, usability, security.
• A strong understanding in conceptual, logical, and physical data modelling. Well versed in data modelling techniques (Kimball) in both Entity Relationship data model and dimensional data model
• Experience in database technologies such as AWS RDS, MS SQL, DB2, Oracle DB, MySQL, MongoDB/ NoSQL
• Experience in Data transformation / integration, BI, Data Analytics, Reporting, Machine Learning toolsets such as, Talend, Alteryx, Business Objects, Informatica, Tableau, PowerBI, etc.
• Experience in data streaming technology using, Kafka, Tibco.
• Experience in Data Virtualization Technology (Denodo)
• Experience with machine learning, NLP and deep learning modelling.
• Knowledge in data mesh and data product, and data marketplace
• Strong presentation and technical documentation, and project management skills.
• Experience in Application Data Integration using Enterprise Service Bus and/or API Management.
• Familiar with TOGAF concept with practical experience in full TOGAF cycle implementation.
• Familiar with Financial Regulator’s Data Governance Policy and MAS TRM.

Job ID:10074160