Data Architect (AI)

Build & optimize a high performance data platform that powers analytics, dashboards, and AI models. The pioneer team frees Data Scientists & Analysts from manual engineering. Salary up to $12,000 + AWS + Bonus.

Key Responsibilities

• Lead evaluation and integration of enterprise data and AI platforms.
• Design cost‑efficient, high‑performing data infrastructures supporting analytics, ML, and LLM applications.
• Design and implement multi‑layer data warehouse and lakehouse architectures for structured, semi‑structured, and unstructured data.
• Build and maintain data flow diagrams, ER models, and lineage maps for end‑to‑end data flow transparency and traceability.
• Implement pipeline monitoring, error alerting, and system health dashboards for reliability and uptime.
• Enforce masking, encryption, and least‑privilege access aligned with PDPA/GDPR standards.
• Lead proof‑of‑concepts for emerging tools and automation frameworks.
• Introduce modern paradigms (data mesh, data fabric, lakehouse) as company scales.

Requirements

• Minimum degree in Computer Science, Information Systems, or related field.
• Minimum 10 years experience in data architecture, warehousing, or large‑scale infrastructure.
• Proven success in building enterprise data warehouse / lakehouse in high‑volume industries.
• Deep expertise in AWS stack such as Redshift, Glue, S3, EMR, Lake Formation, IAM, CloudWatch, SageMaker, etc.
• Knowledge of real‑time processing, ETL/ELT automation, and MLOps pipelines.
• Hands‑on governance and compliance experience (PDPA, GDPR).

If you are ready to take your Java skills to the next level and build real‑world AI & data solutions, apply now with your updated resume.

Ng Kee Hung (Vickus) - R2091423
ScienTec Consulting Pte Ltd - 11C5781