

• Analyze structural requirements for new software and applications and design conceptual and logical data models and flowcharts
• Coordinating and collaborating with cross-functional teams, stakeholders, and vendors for the smooth functioning of the enterprise data system.
• Develop architectural strategies for data platform, data modeling, design and implementation to meet stated requirements for data governance, data quality, metadata management, operational data stores and Extract Transform Load environments
• Design data quality rules to measure data quality and dashboard to monitor and evaluate data quality result.
• Improve data quality level for both quick win and long term.
• Implement changes necessary to process and system to fix the issues at the root cause.
• Bachelor's degree in Management Information Systems, Computer Science, Engineering, Statistics or related field, or the equivalent combination of education, training and experience
• At least 3-5 years of data architect or database management experience
• Understanding of data warehousing, data cleaning, data pipelines and other analytical techniques required for data usage • Demonstrates functional knowledge of data visualization tools
• Demonstrates a deep understanding of multiple database concepts
• Has a working knowledge of various data structures and the ability to extract data from various data sources
• Understands the concepts and application of data mapping and building requirements
• At least have technical skills in Oracle, SQL, UNIX, Python or BI reporting tools. Advanced in MS Excel and Access is a must.
• Have an experience of unstructured data for BI or computer science would be advantage.