Job Description

Are you a hands-on data expert with deep experience in modern data engineering frameworks? Do you excel in designing scalable data architectures that align with complex business needs? If so, we want to hear from you.

We are seeking a Data Architect with exceptional coding skills in Apache Spark, DBT, Iceberg, and Trino to transform the data landscape.

This is a critical role that combines advanced data engineering capabilities with strategic architectural thinking.

🔍 What You’ll Do:

• Drive the “Data by Design” initiative.
• Develop deep understanding of our current data architecture, lineage, and design gaps.
• Lead the creation of conceptual and domain data models to establish a unified view of Coverage data.
• Implement Data Quality (DQ) change control frameworks to ensure compliance with data standards and models.
• Provide end-to-end support in data modeling, data architecture design, and key business transformations.
• Establish design standards for Data Privacy, Security, Records Keeping, and Data Sovereignty.
• Define business data terms, standards, and metrics to measure and enhance data quality.
• Guide and implement Reference Data Architecture Principles and monitor the health of reference data ecosystems.
• Partner with Technology Architects on physical data modeling and architecture.
• Operate or establish governance forums to oversee Data Design and Architecture.
• Act as a trusted Data Architecture Consultant across business projects and initiatives.

Your profile:

• Must be a Singaporean Citizen or Permanent Resident due to business needs.
• Minimum 8 years of experience in data architecture, data modeling, and large-scale data engineering.
• Strong coding skills in Apache Spark, DBT, Apache Iceberg, and Trino (there will be coding tests).
• Deep understanding of enterprise data management principles and reference data strategies.
• Proven track record of implementing scalable, secure, and compliant data architectures.

✅ Bonus Points For:

• Experience in financial services or corporate banking.
• Familiarity with data governance tools and regulatory data frameworks.
• Ability to influence stakeholders and drive cross-functional alignment.