Data Architect

📋 Description

• Design and maintain logical and physical data models across domains.
• Build and optimize scalable data pipelines using Azure Data Services, Databricks, and Delta Lake.
• Create semantic layers, data marts, and feature stores to support analytics and AI.
• Collaborate with Data Scientists and stakeholders to align data with business needs.
• Establish data architecture principles, naming conventions, and modelling standards.
• Ensure architecture supports regulatory compliance, security, and privacy requirements.

🎯 Requirements

• 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 for technical discussions, meetings, and documentation.

🎁 Benefits

• Work on engaging projects with some of the world's largest banks/insurers.
• Collaborative, flat, entrepreneurial consulting culture.
• Access to continuous learning, training, and industry certifications.
• Be part of a team shaping the future of digital financial services.
• Agile, diverse, inclusive, meritocratic culture.