Data Architect
Hybrid · Bangkok, Bangkok, Thailand
Job Summary
Data Architect to design, develop, and evolve BankX's enterprise data architecture, ensuring well-modeled, secure, high-quality, and analytics-ready data across domains (customer, product, transaction, risk) with emphasis on regulatory alignment (PDPA), AI/ML readiness, and governance. Responsibilities include defining data models and semantic layers, building scalable data pipelines using Azure Data Services, Databricks, and Delta Lake, optimizing storage and performance, and ensuring metadata management and policy enforcement through Unity Catalog/Azure Purview. Collaborate with data scientists, engineers, and business stakeholders to translate use cases into architectural requirements, provide templates and standards, and promote data literacy across teams. Strong focus on governance, lineage, consent management, and compliance, with additional preference for experience in regulated industries and proficiency in cross-functional collaboration.
Required Qualifications
- 6+ years of experience in data architecture, data engineering, or related roles
- Strong expertise in data modeling, SQL, and distributed data systems
- Hands-on experience with Azure Data Services, Databricks, Delta Lake, and Lakehouse architecture
- Familiarity with metadata management, data governance, and privacy frameworks
- Ability to design for scalability, security, and regulatory compliance
- Proficient in Thai and English at intermediate level or above, sufficient for technical discussions, meetings, and written documentation
Desired Qualifications
- Experience in data architecture
- Strong expertise in data modeling, SQL, and distributed data systems
- Hands-on experience with Azure Data Services, Databricks, Delta Lake, and Lakehouse architecture
- Familiarity with metadata management, data governance, and privacy frameworks
- Ability to design for scalability, security, and regulatory compliance
- Proficient in Thai and English at intermediate level or above, sufficient for technical discussions, meetings, and written documentation
- Preferred: Experience in banking, fintech, or other regulated industries
- Knowledge of PDPA, Responsible AI, and data classification frameworks
- Exposure to feature store design, real-time architecture, and semantic modeling
- Strong communication skills and ability to work in cross-functional teams
- Passion for building trusted, well-governed, and future-ready data platforms
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