About the Role:
We are seeking a solution-driven and governance-focused Data Architect to support the design,
development, and evolution of BankX’s enterprise data architecture. This role is critical in ensuring that
data across the organization is well-modeled, secure, high-quality, discoverable, and optimized for
analytics, AI/ML, and regulatory requirements.
You will work closely with Data Engineers, Data Scientists, AI/ML Engineers, Business Stakeholders, and
Data Governance teams to define architectural standards, enhance data flows, and ensure alignment with
regulatory and internal policies such as PDPA.
Roles & Responsibilities:
1. Enterprise Data Architecture Design
- Define and maintain logical and physical data models across domains (e.g., customer, product,
transaction, risk) - Establish data architecture principles, naming conventions, and modelling standards aligned with
business and regulatory needs. - Design semantic layers, data marts, and feature stores to support analytics and AI use cases.
- Collaborate with Data Scientists to ensure feature definitions are consistent, reusable, and aligned with
business logic.
2. Platform Integration & Optimization
- Work with Data Engineers to implement scalable data pipelines using Azure Data Services, Databricks,
and Delta Lake. - Ensure architectural alignment across batch, streaming, and real-time data flows.
- Optimize data storage, partitioning, and indexing strategies for performance and cost-efficiency.
- Support AI/ML Engineers in designing model-ready datasets and feature pipelines.
3. Governance & Metadata Management
- Partner with Data Governance and Privacy teams to embed classification, lineage, and consent
management into the architecture. - Ensure integration with Unity Catalog, Azure Purview, and enterprise metadata tools.
- Design architecture that supports auditability, traceability, and policy enforcement across data and AI
assets.
4. Collaboration & Enablement
- Work with Business Owners and/or Business Analysts to translate business use cases into architectural
requirements. - Provide guidance, templates, and standards to enable analytics and engineering teams to build on a
unified architecture. - Promote data literacy and architectural awareness across technical and business teams.
Qualifications:
Required:
- 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
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.