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Manager/Senior Manager - Data Modeler

EASTSPRING INVESTMENTS (SINGAPORE) LIMITED

Singapore

On-site

SGD 80,000 - 120,000

Full time

Today
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Job summary

A leading investment firm in Singapore is seeking a Data Architect to develop and maintain data models aligned with business requirements. The ideal candidate will have 5–8 years of experience in data modelling and architecture, with proficiency in Microsoft Azure services such as Azure Data Lake and Data Factory. Strong communication skills and experience with data governance are essential for this collaborative role, which will help enhance data quality and compliance within the organization.

Qualifications

  • 5–8 years of experience in data modelling, data architecture, or related roles.
  • Strong understanding of asset management business data, data structure, and workflows.
  • Proficiency in design principles for data entities and relationships.

Responsibilities

  • Develop and maintain business data models that align with business requirements.
  • Assist in designing and implementing data architecture on Microsoft Azure.
  • Work collaboratively to understand business data needs.

Skills

Data modelling
Data architecture
SQL
Collaboration skills
Microsoft Azure

Tools

Erwin
Informatica
Azure Data Factory
Azure Data Lake
Databricks
Job description
KEY ACCOUNTABILITIES
  • Develop and maintain business data models, ensuring alignment with business requirements, data architecture and data governance standards
  • Assist in designing and implementing data architecture on Microsoft Azure, including Azure Data Lake, Azure Data Factory, and Databricks
  • Work with data architect, business users, analysts, and data engineers to solicit and understand business data needs and translate them into effective data models and architecture
  • Optimize data models to enhance performance, security, reliability and scalability
  • Support integration with data quality tools and contribute to metadata management and compliance with internal and external data governance policies
  • Contribute to documentation and promote best practices in data modelling, architecture, and data lifecycle management.
GENERAL CANDIDATE ATTRIBUTES:
  • 5–8 years of experience in data modelling, data architecture, or related roles
  • Strong understanding of asset management business data, data structure, and workflows across front, middle and back office
  • Proficiency in data entities and relationships design principles
  • Proficiency in SQL and be able to discover data relationships from sample datasets
  • Hands-on experience with data modelling tools, Erwin (preferred)
  • Hands-on experience with Microsoft Azure data services (Data Factory, DataLake, Databricks)
  • Exposure to data governance and data quality management tools such as Informatica
  • Familiarity with BRS Aladdin is advantageous
  • Strong communication skills and ability to work collaboratively across technical and business teams
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