Data Architect

Bangkok Bank (Bangkok, Bangkok City, Thailand)

Bangkok, Thailand

Discover Bangkok Bank – Thailand’s largest commercial bank and one of the leading commercial banks in Southeast Asia. A pioneer bank with long progress of the country. Bangkok Bank has grown and matured with Thai people and their business interests and today is renowned for its size, stability and partnership approach. The bank is driving innovation in new products and services and building on its inherent scale advantages to meet the challenges of a changing financial landscape and consolidate its leadership position for the future.

About this position

The position involves defining and implementing a comprehensive data strategy for a mobile banking app, ensuring alignment with business objectives and technological needs.

Responsibilities

• Data Strategy Development: Define and implement a comprehensive data strategy for the mobile banking app that aligns with the overall business objectives and technological landscape. This includes data modeling, data governance, data integration, and data storage approaches.
• Data Modeling and Design: Develop conceptual, logical, and physical data models to support the mobile banking application. Ensure models are scalable, performant, and capable of handling real-time data processing and analytics needs.
• Data Integration Architecture: Design and oversee the implementation of data integration processes, including ETL (Extract, Transform, Load) operations, API data services, and real-time data streams, ensuring seamless and efficient data flow across various systems and services.
• Data Governance and Quality: Establish data governance frameworks and data quality standards to ensure the integrity, availability, and privacy of data within the mobile banking ecosystem. Work closely with security teams to implement robust data protection measures.
• Collaboration with Cross-Functional Teams: Work closely with development teams, product managers, and business analysts to understand data requirements and deliver a data architecture that meets user needs and business goals. Facilitate the sharing of data knowledge and best practices within the organization.

Requirements

• Advanced Data Architecture Knowledge: Deep understanding of data architecture principles, methodologies, and tools. Proficiency in data modeling techniques and familiarity with data modeling tools.
• Experience with Database Technologies: Hands-on experience with various database technologies (relational, NoSQL, graph databases) and an understanding of their appropriate use cases. Experience with data warehousing and data lakes is highly valued.
• Cloud Computing Platforms: Strong experience with cloud services related to data storage, processing, and analytics (e.g., AWS, Azure, Google Cloud Platform). Knowledge of cloud-native data architecture patterns and best practices.
• Data Governance and Compliance: Knowledge of data governance frameworks and experience implementing data quality and data protection measures. Familiarity with regulatory requirements affecting data in the financial services sector.
• Strong Analytical and Problem-Solving Skills: Ability to tackle complex data challenges, with a keen eye for details and a strategic approach to problem-solving.
• Effective Communication and Leadership: Strong interpersonal and communication skills, with the ability to lead data architecture discussions and influence technical decisions across teams.