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Data Platform Principal Architect

SpringCube

Full time - Principal Engineer

Fintech

Singapore, All Areas

Published 2 hours ago

Salary: Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A global fintech organization is redefining the landscape of payments and financial services. The company provides a unified platform for businesses to manage accounts, payments, spend, treasury, and embedded finance on a global scale. With over 200,000 clients worldwide and a team of 2,000+ across 26 offices, it combines proprietary infrastructure with innovative software solutions. Valued at US$8 billion, it is backed by leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital. The organization is committed to driving innovation in global banking and payments.

Summary
The Principal Architect will lead the architecture of the company’s data and knowledge platforms, supporting AI, ML, and analytics initiatives. This senior individual contributor role focuses on building a governed, reusable system of data, knowledge, and skills layers to enable actionable insights, AI agents, and real-time decision-making across the organization.

Responsibilities

  • Own technical execution of regional and global data localization strategies within the Databricks ecosystem
  • Design scalable data patterns that meet regulatory requirements while maintaining a unified global data model
  • Reconcile local compliance constraints with global consistency in definitions, metrics, and knowledge artifacts
  • Collaborate with Data Science, AI Engineering, Product, and Risk teams to support experimentation and high-quality decision-making
  • Lead global data modeling efforts, creating unified schemas accommodating regional variance
  • Define and implement APIs and tools (“Agent Interfaces”) that enable AI agents to interact with Knowledge and Skills layers
  • Implement Governance-as-Code to embed automated data lineage and quality controls in the platform
  • Architect the platform’s three-layer system:
    • Data Layer: Governed, structured datasets including transactional records, event streams, dimensional models, and feature tables
    • Knowledge Layer: Semantic layer translating data into meaningful metrics, entity relationships, and documentation
    • Skills Layer: Operationalized workflows, agent-callable tools, automated pipelines, and transformation primitives enabling AI and analytics capabilities

Minimum Qualifications

  • 10+ years of experience designing and building large-scale data systems with strong architectural fundamentals
  • Hands-on experience with Databricks, including Unity Catalog and Delta Lake
  • Experience implementing semantic layers or metric stores for consistent reporting and analytics
  • Solid understanding of AI/agent-based system data consumption, including building APIs or data services
  • Experience designing data solutions that satisfy regional data residency and compliance requirements
  • Demonstrated senior-level individual contributor experience, including leading design reviews and mentoring engineers

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.