AI Data Architect

Req #

WD

Career Area:

Hardware Engineering

Country/Region:

Malaysia

State:

Selangor

City:

Petaling Jaya

Date:

Thursday, December 18, 2025

Working Time:

Full-time

Additional Locations:

• Malaysia - Selangor - Petaling Jaya

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo's world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit , and read about the latest news via our StoryHub.

About the Role

We're building a next-generation hybrid-cloud management platform that combines Generative AI and classical ML to help businesses optimize cost, reliability, and operations. As Data Architect, you'll own the design and delivery of a strong data foundation—ensuring our data is clean, well-organized, and ready to power analytics, AI models, and intelligent agents.

You'll work closely with Backend, Product, and AI teams to make data accessible, reliable, and governed, while enabling advanced AI capabilities like prompt management, memory architectures, and fine-tuning workflows. You'll also work with solution architects to deploy and customize our solutions for specific customer use-cases.

WhatYou'llDo

• Build andmaintainscalable&realtimedata pipelines and core data assets across the platform for structured and unstructured data.

• Define and enforce data quality, governance, and security standards, ensuring compliance with privacy regulations.

• Organize and model data for analytics, ML, and AI agents, including conversational and behavioral datasets.

• Support AI-specific needs such as prompt logging, memory management, model finetuning, and AI system evaluation datasets.

• Collaborate with cross-functional teams to ensure data is discoverable, documented, andoptimizedfor performance and cost.

WhatWe'reLooking For

• 8+ years of experience in data engineering and building reliable, scalable data platforms.

• Proficiency in Python and SQL; familiarity with distributed data systems and modern data tools (e.g., Airflow, Kafka, PySpark).

• Working knowledge of multiple database types, including relational, document, vector, and graph databases.

• Understanding of data governance, privacy, and compliance best practices.

• Experience with data pipelines for supervised ML and Agentic AI is highly desirable.

• Excellent communication skills and ability to work effectively across teams.

• Exposure to cost management and data operations on public cloud platforms.

• Hands-on experience with cloud data platforms (Azure, AWS, GCP) .

• Ability to lead data strategy and mentor junior engineers.

• (Nice to have) Familar with containerization (docker/kubernetes) for data workload.

Why Join Us?

You'll play a pivotal role in shaping the data backbone, enabling smarter, cost-efficient operations for businesses worldwide. This is an opportunity to influence architecture, set standards, and work on cutting-edge AI-driven solutions.

Additional Locations:

• Malaysia - Selangor - Petaling Jaya