Data Architecture Lead for Analytics Platform

iZeno; Kuala Lumpur; On-site; MYR 180,000 - 300,000; Full time

Job summary

iZeno, part of Logicalis Asia Pacific, invites a Senior Data Architect to lead the architecture, design, and implementation of complex solutions involving Data Analytics, Data Warehouse, Data Lake, and Big Data, aligning technology with business strategy and enabling scalable insights for enterprise customers.

Design and govern robust data models (Conceptual, Logical, Physical), mentor the technical team, translate business needs into technical roadmaps, oversee delivery across the full SDLC,

Qualifications

• Bachelor’s Degree or Diploma in Computer Science/Information Technology or equivalent.
• 7–8 years of experience in Data Analytics, Data Warehouse, Data Lake or Big Data.
• Strong data modelling knowledge (Dimensional Modelling, Star/Snowflake, Data Vault).
• Expert SQL and Python; strong Java/Scala skills are highly valued.
• Proven experience leading engineering teams and delivering enterprise-scale projects.

Responsibilities

• Lead architecture, design, and implementation of data solutions across analytics platforms.
• Govern data models (Conceptual, Logical) to ensure integrity and performance.
• Mentor the technical team and enforce coding standards and best practices.
• Translate business needs into technical roadmaps and drive SDLC delivery.
• Establish data governance, quality controls, and modeling standards.

Skills

SQL

Python

Java/Scala

Data Modelling

Leadership

Education

Bachelor’s Degree or Diploma in Computer Science/Information Technology

Tools

Docker

Kubernetes

Snowflake

AWS/Azure/Google Cloud

ETL/ELT

Job description

iZeno, part of Logicalis Asia Pacific, invites a Senior Data Architect to lead the architecture, design, and implementation of complex solutions involving Data Analytics, Data Warehouse, Data Lake, and Big Data, aligning technology with business strategy and enabling scalable insights for enterprise customers.

Design and govern robust data models (Conceptual, Logical, Physical), mentor the technical team, translate business needs into technical roadmaps, oversee delivery across the full SDLC,