Data & AI Architect — Enterprise Analytics & GenAI

Aventra Group

Kuala Lumpur

On-site

MYR 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation and benefits
Continuous learning and certification support

Job summary

Aventra Group is seeking a Data & AI Architect in Kuala Lumpur, Malaysia. This role is pivotal in defining and governing the organization's data architecture, analytics platforms, and AI/ML solutions. The architect will work closely with business leaders to ensure scalable and secure data ecosystems. Candidates should have 8-12+ years of relevant experience, strong technical skills in data solutions, and experience with cloud-native platforms. The position offers competitive compensation and continuous learning opportunities.

Qualifications

  • 8–12+ years of experience in data architecture or enterprise architecture roles.
  • Strong experience designing and implementing data lakes, warehouses, and lake-house solutions.
  • Solid knowledge of AI/ML concepts and model lifecycle.

Responsibilities

  • Define and maintain enterprise data architecture and reference models.
  • Design scalable data platforms including data lakes and warehouses.
  • Architect data and AI solutions on cloud platforms.

Skills

Data architecture
AI/ML concepts
Data governance
Cloud services (Azure, AWS, GCP)

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering

Tools

SQL databases
NoSQL databases
Data lakes
Big data processing

Job description

Aventra Group is seeking a Data & AI Architect in Kuala Lumpur, Malaysia. This role is pivotal in defining and governing the organization's data architecture, analytics platforms, and AI/ML solutions. The architect will work closely with business leaders to ensure scalable and secure data ecosystems. Candidates should have 8-12+ years of relevant experience, strong technical skills in data solutions, and experience with cloud-native platforms. The position offers competitive compensation and continuous learning opportunities.
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