Data Architect

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent.

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.

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.

• 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

• 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.