Chief Data Architect Chief Data Architect …

T+O+M
in Singapore, Singapore, Singapore
Permanent, Full time
Last application, 21 Feb 20
Above Market Average
T+O+M
in Singapore, Singapore, Singapore
Permanent, Full time
Last application, 21 Feb 20
Above Market Average
Join one of the largest Global Investment Management Firms that specializes in Real Estate and Professional Services. We are looking for a Data Professional to setup a Data Hub in Asia. This will serve as a real time data and analytics platform for a group of companies in various continents.

Requirements: 

 

  • Lead data architecture efforts to structure, integrate, govern, store, describe, model, and maintain data in the enterprise for optimal accuracy and usage 
  • Lead and champion the deployment of a data and analytics platform that integrates varied sources of data and that delivers business value while aligning with the global data platform stack
  • Provide leadership, guidance and coordinate development and deployment of data and analytics related projects across development teams
  • Understand current enterprise data quality capabilities and strive for continuous improvement
  • Work with data governance committee to help define data related policies and procedures and their enforcement 
  • Champion the use of visual modelling tools for defining data architectures
  • Collaborate with wider portfolio community in sharing best practices, lessons learned. Constantly update the data architecture based on evolving technologies and products
  • Facilitate and deploy a master data management strategy
  • Review and provide guidance related to data security, retention and archival
  • Understand and communicate data requirements related to future infrastructure needs, working with other IT architects (in-house, partners and vendors) to develop an approach that fits the current and planned needs of the organization
  • Provide guidance and oversight for selection, configuration, deployment and maintenance of Cloud data platform using structured deployment processes and frameworks.
  • Establish best practices for Dev Ops
  • Provide leadership over development or product deployment efforts for projects using Agile/Scrum based methodologies
  • Assist in driving defect and root cause analysis for software defects and interfaces
  • Collaborate with wider portfolio community in sharing best practices, lessons learned 

 

Relevant Experience: 

 

  • Minimum 7 years of experience translating complex business requirements into data solutions that achieve business goals and meet performance, scalability, quality and extensibility needs
  • Experience in building a unified data platform from the scratch, catering to Data Acquisition, Data Lakes, Data Transformation, Data Warehousing, Data Visualization and Data Science
  • Strong experience with Microsoft SQL and Azure stack
  • Strong programming language experience using Python
  • Experience with relational and dimensional database modelling
  • Strong experience designing and deploying full stack data analytics platforms including the use of data warehouse technologies and data visualization tools such as PowerBI and Tableau
  • Strong experience with both real-time and batch pipelines-based data integration frameworks
  • Experience with visual modelling tools including UML
  • Experience in full life cycle of complex software deployment projects using structured methodologies including Agile/Scrum and SDLC
  • Thoughtful practitioner of software engineering methodologies, frameworks and tools
  • Strong experience architecting and deploying cloud enabled data solutions
  • Exposure to NoSQL database technologies
  • Exposure to big data platforms like Hadoop
  • Strong knowledge of cyber security including application design considerations to ensure data security and compliance
  • Experience with visual modelling tools including UML
  • Experience in full life cycle of complex software deployment projects
  • Thoughtful practitioner of software engineering methodologies, frameworks and tools
  • Exposure to Six Sigma or other process improvement methodologies
  • Experience in Data science based statistical modelling approaches is an advantage

 

 

If you feel that you have the relevant experience to the requirements listed above, please feel free to call Nathan direct on +65 6671 3359 to fast track your application, alternatively you can send submit your CV to nathan.smit@tomrecruitment.com, please be sure to reference the Job Title in the subject of your email. 

 

Nathan Hennie Smit

Registration Number: R1871799

EA Licence Number: 16S8373

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