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APPLICATION DEVELOPMENT MANAGER

JEET ANALYTICS PTE. LTD.

Singapore

On-site

SGD 90,000 - 120,000

Full time

Yesterday
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Job summary

A leading analytics firm in Singapore is seeking an experienced Application Development Manager. This role includes designing and optimizing Data Vault 2.0 models, leading an offshore team of engineers, and ensuring data architecture aligns with business goals. The ideal candidate will have proven experience in data modeling and team mentorship, along with strong stakeholder engagement skills. This position offers an opportunity to significantly impact the organization's data strategy.

Qualifications

  • Experience in designing and optimizing Data Vault 2.0 models.
  • Proven ability to lead technical teams effectively.
  • Strong understanding of data governance policies.

Responsibilities

  • Design, develop, and optimize Data Vault 2.0 models.
  • Lead and mentor an offshore team of data engineers.
  • Ensure alignment of architecture with business goals.

Skills

Data Vault 2.0 modeling
Data architecture
Team leadership
Data engineering collaboration
Stakeholder engagement
Job description

We are hiring APPLICATION DEVELOPMENT MANAGER with below requirements;
Key Responsibilities:

  • Design, develop, and optimize Data Vault 2.0 models, including hubs, links, satellites, and bridge tables.
  • Define modeling standards, best practices, and ensure consistency across the data platform.
  • Architect scalable and high-performance data models supporting analytics, reporting, and downstream systems.
  • Work closely with data engineers to ensure proper implementation of data pipelines based on the Data Vault framework.
  • Lead and mentor an offshore team of data engineers, ensuring timely delivery and high-quality output.
  • Conduct technical reviews, provide guidance, and remove blockers for the offshore team.
  • Drive collaboration across data engineering, analytics, QA, and business teams.
  • Act as the primary architectural advisor to client leadership and technical management.
  • Present data architecture solutions, recommendations, and impact analysis to stakeholders.
  • Consult and provide thought leadership on data modeling standards, integration approaches, and performance optimization.
  • Support end-to-end project lifecycle including design, development, testing, and deployment.
  • Ensure alignment of architecture with business goals, data governance policies, and compliance requirements.
  • Create and maintain architectural documentation, data dictionaries, and modeling blueprints.
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