Data Architect (Banking)
Indexed description
Role Summary
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.
What You’ll Do
- 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.
- 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.
- 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.
- 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.
- Work on engaging projects with some of the largest banks/insurance in the world, on projects that will transform the financial services industry
- Work in a collaborative, flat, and entrepreneurial consulting culture
- Access continuous learning, training, and industry certifications
- Be part of a team shaping the future of digital financial services
- Help shape the future of digital transformation across FS & Energy
- A work culture focused on innovation and creating lasting value for our clients and employees
- Ongoing learning opportunities to help you acquire new skills or deepen existing expertise in our financial services offerings
- A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
- An agile, diverse, entrepreneurial, inclusive, meritocratic culture
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