Big Data & Enterprise Architect, Chemical Business

Job Summary:

We are seeking an experienced Data Engineer to lead the development and operations of our Enterprise AI Data Hub – a centralized platform that unifies internal and external data sources to enable advanced AI-driven analytics and business intelligence across the organization.

Responsibilities:

1. Data Hub Architecture & Management: Design and operate a scalable, cloud-native AI Data Hub with automated orchestration to manage high-volume, high-speed enterprise data.

2. Data Integration & Preparation: Build ETL/ELT pipelines for internal (ERP, CRM, databases) and external (market feeds, APIs, Social media) data, apply feature engineering, and support real-time and batch processing.

3. AI Integration & Analytics: collaborate with AI teams to optimize data for ML models, deploy for real-time inference, and enable predictive, NLP, and self-service analytics with high data quality.

4. Data Governance & Compliance: Implement governance for data quality, lineage, metadata: enforce security and regulatory compliance; maintain clear documentation.

5. Business Collaboration & strategy: Work with stakeholders to align technical solutions with business needs, enhance data capabilities, and drive AI and digital transformation.

6. Impact & Value Creation: Deliver a trusted data ecosystem that accelerates AI adoption, empowers data-driven decisions, and ensures secure, scalable, compliant operations.

Qualifications:

• Bachelor’s degree in Data Engineering, Computer Science, Information Technology or related field.

• Fresh graduated are welcome to apply.

• Computer Skills: MS Office, SQL-based Database management system, Python, Database & Data warehouse

• Good command of English (spoken and written).

• Work Location: Based at Bangsue, Bangkok.