• SVP / VP , Data Architect , Group Consumer Banking and Big Data Analytics Technology , Technology and Operations Jobs in Singapore - 23853561

  • DBS Bank Ltd
  • Singapore

Job Description:

SVP / VP, Data Architect, Group Consumer Banking and Big Data Analytics Technology, Technology and Operations - ( WD06901 )

Business Function

Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation In Group T&O, we manage the majority of the Banks operational processes and inspire to delight our business partners through our multiple banking delivery channels

Job Purpose

The position exists to cater to technology Data architecture for Big Data initiatives and projects planned on the BI & Analytics platform
Establish best practices and guidelines for Data architecture / Data modelling
Establish Data framework for Data Lake, Integration and Data marts
Provide on-time Data model and design for initiatives and projects on Hadoop/Analytics platform

Key Accountabilities

Establish best practices and guidelines for Data architecture / Data modelling
Establish Data framework for Data Lake, Integration and Data marts
Establish best practices and guidelines to be followed by tech teams working on big data platform
Provide on-time solutions and design for initiatives and projects on Hadoop/Analytics platform
Provide on-time Data model and design for initiatives and projects on Hadoop/Analytics platform

Responsibilities

Implementing Data Architecture/ Data modelling for data platform and Analytics
Define and govern consumer banking logical model and data platform best practices and standards to include software development practices, design styles and software deployment
Good knowledge on Data model physicalization
Expert in selective denormalization of integrated layer based on Analytical needs
Facilitate the discovery of entities, attributes, relationships, and business rules from the functional experts and the user community
Develop and manage data models in Erwin and associated metadata for the enterprise
Liaise & provide inputs to Data Management on enterprise level metadata management
Define and enforce best practices for standard naming conventions and coding practices to ensure consistency of data models
Responsible for defining the analytical presentation layers to ensure optimal data storage and to eliminate data redundancy
Responsible for review of physical data models
Responsible for the technical design of Analytics and big data systems including ETL, data transformations, reporting and analytics services
Examine and evaluate Analytics & big data requirements for various business units across the organization
Applying architecture and engineering concepts to design solutions that adhere to organization standards and cater for re-usability, scalability, maintainability and security
Contributing to analytics strategy and architecture that will align investments with the highest impact areas, while producing a suite of complementary models, tools and capabilities
Working with cross-functional teams to discover and develop actionable, high-impact data analytics requirements and opportunity statements in a variety of core business areas
Assessing tool implementations and architectures in the Analytics & Big data space, reviewing for gaps against business needs and industry best practices
Contributing to business process design and re-engineering impacted areas
Providing oversight to analytics and data warehousing activities in the team to ensure alignment of priorities, coordination of inter-related projects and ensuring success stories are leveraged
Effectively communicating analyses, recommendations, status, and results to both business & technology leads
Leading proof of concepts to create break through solutions, performing exploratory and targeted data analyses to drive iterative learnings

Requirements

At least 8 to 15 years of working experience, preferably in banking environments
Familiarity with key technologies and concepts, eg Hadoop, Hive, Spark, SparkR, Mahout, R , SAS, Phython/Java, Teradata are necessary
Candidate with experience in Analytics and big data architecture
Familiarity with key technologies and concepts, SQL & Big Data
Knowledge of products in Banking and Financial Services
Ability to write clear documentation of procedures, and ability to write specifications for data models to be developed
Detail-oriented and able to follow clear methodologies for troubleshooting and development
Expert knowledge of data Architecture in financial service data models
Expert knowledge of Erwin data modeler tool Certifications would be a plus
Expert in Data Analysis and Data Profiling
Efficient in prioritising work and multi tasking

App

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Financial Services/Stockbroking
Functional Area : IT Software : Software Products & Services
Role : Data Warehousing
Salary : As per Industry Standards
Deadline : 19th Apr 2020

Key Skills:

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