Senior Data Architect

A Data Architect(s) is an individual who will define and design the data architecture framework for modern data platforms, define information governance policies, standards and principles, including

modeling, metadata, security, reference data providing options with respect to end state data architecture and implementation of processes and DG technologies.

Main role and responsibilities :

• Designing database architecture and topologies, enterprise's data models of applications, integration, data warehouse applications, ETL process and business intelligence reports through the use of best practices and tools.
• Conduct high quality review related to outcomes including ETL processes, data warehouse designs and data system enhancements in accordance with existing standards and guidelines.
• Resolving data architecture routine related issues with business analysts and technology teams by providing advice on data warehousing methods and approaches.
• Analyzing data architecture related business needs, working with project staff to make decisions and recommendations on the future of data architecture developments.
• Gathering data requirements e.g. data interfacing guidelines, to facilitate continuous data management throughout the data lifecycle.
  

Qualification :

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Able to communicate both writing and speaking in English and Thai
• Minimum of 7 years of experience in data engineering, with a focus on financial services or consulting.
• Proven track record of designing and implementing complex data solutions, including data lakes, data warehouses, and real-time streaming platforms.
• Hands-on experience with cloud-based technologies, such as AWS, Azure, or GCP, and proficiency in SQL, Python, Scala, or Java.
• Strong understanding of AI and machine learning concepts, with experience in deploying models in production environments.
• Excellent communication skills and ability to effectively collaborate with cross-functional teams.
• Demonstrated leadership capabilities, including the ability to lead technical projects, mentor junior team members, and drive innovation.