Capco
Financial Services
DataArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Architect at Capco. Skills: Data Architecture, Data Modeling, Azure Data Services, Databricks. Define enterprise data architecture. Maintain logical and physical data models”
What You'll Achieve.
Ensure data is well-modeled; Ensure data is secure; Ensure data is high-quality; Ensure data is discoverable; Ensure data is optimized for analytics; Ensure data is optimized for AI/ML; Ensure data is optimized for regulatory requirements; Enhance data flows; Ensure alignment with regulatory policies; Ensure alignment with internal policies; Support analytics use cases; Support AI use cases; Support AI/ML Engineers; Build on a unified architecture; Build trusted data platforms; Build well-governed data platforms; Build future-ready data platforms
Industry & Context.
Solution-driven
What They're Looking For.
Must Have
Data architecture, Data engineering, Data modeling, SQL, Distributed data systems, Azure Data Services, Databricks, Delta Lake, Lakehouse architecture, Metadata management, Data governance, Privacy frameworks, Scalability, Security, Regulatory compliance, Thai language, English language
Nice to Have
Banking experience, Fintech experience, Regulated industries experience, PDPA, Responsible AI, Data classification frameworks, Feature store design, Real-time architecture, Semantic modeling, Communication skills, Work in cross-functional teams
What You'll Do.
Define enterprise data architecture
Maintain logical and physical data models
Establish data architecture principles
Design semantic layers
Design feature stores
Collaborate with Data Scientists
Implement scalable data pipelines
Ensure architectural alignment
Optimize data storage
Optimize partitioning
Support AI/ML Engineers
Design model-ready datasets
Design feature pipelines
Embed consent management
Ensure integration with metadata tools
Design architecture for auditability
Design architecture for traceability
Design architecture for policy enforcement
Translate business use cases
Promote data literacy
Promote architectural awareness
How You'll Work.
Team & Collaboration
Work closely with Data Engineers; Work closely with Data Scientists; Work closely with AI/ML Engineers; Work closely with Business Stakeholders; Work closely with Data Governance teams; Collaborate with Data Scientists; Partner with Data Governance teams; Partner with Privacy teams; Work with Business Owners; Work with Business Analysts; Enable analytics teams; Enable engineering teams; Work in cross-functional teams
Communication Scope
Communication skills; Technical discussions; Meetings; Written documentation
Full Job Description
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. 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 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 alig
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