Data and AI Architect

Aventra Group; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

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

Kuala Lumpur, Malaysia | Posted on 05/12/2026

The Data & AI Architect is responsible for defining, designing, and governing the organization’s data architecture,analytics platforms, and AI/ML solutions. This role ensures scalable,secure, and business‑aligned data and AI ecosystems that enable advancedanalytics, machine learning, and AI-driven decision‑making.

The architect partners closely with business leaders, dataengineers, AI engineers, security, and cloud teams to translate strategy intorobust technical solutions.

Key Responsibilities

• Defineand maintain enterprise data architecture and reference models
• Designscalable data platforms including data lakes, data warehouses, and lake-house architectures
• Selectand govern data storage, processing, and analytics technologies

AI & Advanced Analytics Architecture

• Designend-to-end AI/ML solution architectures, from data ingestion tomodel deployment
• Supportuse cases such as predictive analytics, NLP, computer vision, andgenerative AI
• Definemodel lifecycle, MLOps, and AI platform standards
• Ensureexplain monitoring, and reliability of AI solutions

Cloud & Technology Enablement

• Architectdata and AI solutions on cloud platforms (Azure, AWS, or GCP)
• Leverageservices such as:
• Analytics& big data platforms
• AI/MLand GenAI services
• Ensurecost optimization, scalability, performance, and resilience

Governance, Security & Compliance

• Define data governance, metadata management, lineage, and qualityframeworks
• Ensurecompliance with data privacy, security, and regulatory requirements
• Implementsecurity controls including access management, encryption, and auditing
• SupportResponsible AI and ethical AI practices

Stakeholder Collaboration & Leadership

• Translatebusiness requirements into technical data and AI architectures
• Providearchitectural guidance to delivery teams and review solution designs
• Definestandards, best practices, and roadmaps for data and AI initiatives
• Mentorarchitects, data engineers, and AI engineers

Requirements

Required Qualifications & Experience

• Bachelor’sor Master’s degree in Computer Science, Data Science, Engineering, orrelated field
• 8–12+years of experience in data architecture, analytics, or enterprisearchitecture roles
• Strongexperience designing and implementing:
• Datalakes, warehouses, and lake-house solutions
• ETL/ELTand streaming architectures
• Solidknowledge of AI/ML concepts, model lifecycle, and deploymentpatterns
• Experiencewith cloud-native data & AI platforms
• Strongunderstanding of data modeling, metadata, quality, and governance

Technical Skills

• DataPlatforms: SQL & NoSQL databases, data lakes, big data processing
• Cloud:Azure / AWS / GCP data and AI services
• Security& Governance: IAM, encryption, privacy, compliance

Preferred / Added Advantage

• Experiencewith Generative AI and LLM-based solutions
• Knowledgeof Responsible AI frameworks
• Industryexperience in regulated or enterprise‑scale environments
• Strongstrategic and analytical thinking
• Abilityto balance innovation with governance and risk
• Excellentcommunication with technical and non‑technical stakeholders
• Influencingand leadership capabilities

What We Offer

• Opportunityto shape enterprise data & AI strategy
• Exposureto advanced analytics and AI initiatives
• Competitivecompensation and benefits
• Continuouslearning and certification support