About the role

AI summarised

The Data Architect designs and implements enterprise data platforms across ingestion, storage, transformation, serving, and consumption layers. They drive data governance outcomes, define standards for data modeling, metadata, lineage, ownership, security, quality, and compliance, and collaborate with business and technical stakeholders to support AI/ML use cases and advanced analytics. The role requires 8+ years of experience in data architecture or engineering, with strong expertise in data platforms, integration practices, and cloud technologies.

IndustrialFull-timeGeneral

Key Responsibilities

Design data architecture and implement enterprise data platform across ingestion, storage, transformation, serving, and consumption layers.
Define / drive standards, and implement data modelling, metadata, lineage, ownership, security, quality, and governance, and compliance (PDPA).
Drive enterprise data governance outcomes across the company by aligning business, DPO, and IT stakeholders around policies, data standards, data protection requirements, consistent governance processes, data ownership, lifecycle, and quality.
Work with business owners and data stewards to define business metadata and critical data elements. Maintain glossaries, lineage, classification schemas, and domain structures. Maintain repository of enterprise data assets and domains.
Coordinate, schedule, and run the Data Governance Council (DGC) meetings and working sessions.
Support audits

Requirements

Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, Data Engineering, Information Systems, or a related discipline. Equivalent practical experience will also be considered.
Minimum 8 years of experience in data architecture, data engineering, data platform development, or similar enterprise data roles. 5+ years of experience in data governance, data management, or data protection roles.
Strong knowledge of data cataloging, metadata, lineage, classification, and data quality.
Understanding of IT security and data protection controls.
Experience working with ERP, operational, industrial, or engineering data sources is advantageous.
Exposure to data foundations supporting AI/ML, predictive analytics, or intelligent automation is beneficial.
Strong expertise in data or platform architecture, lead data engineering, or other senior hands‑on technical roles.
Proven experience designing enterprise‑scale data platforms, integration patterns, and analytical data structures.