AI Data Architect

Lenovo; Remote; MYR 120,000 - 160,000; Full time

Job summary

A global technology leader is seeking an experienced Data Architect to design and deliver a robust data foundation. Responsibilities include building scalable data pipelines, ensuring data quality, and collaborating with various teams. Ideal candidates will have over 8 years in data engineering, proficiency in Python and SQL, and experience with cloud platforms like Azure and AWS. This role offers an opportunity to make a significant impact on AI-driven solutions in a hybrid work environment.

Qualifications

• 8+ years of experience in data engineering and building reliable, scalable data platforms.
• Proficiency in Python and SQL; familiarity with distributed data systems.
• Working knowledge of multiple database types, including relational and document databases.

Responsibilities

• Build and maintain scalable real-time data pipelines and core data assets.
• Define and enforce data quality, governance, and security standards.
• Organize and model data for analytics, ML, and AI agents.

Skills

Data engineering

Python

SQL

Data governance

Cloud platforms

Communication skills

Tools

Airflow

Kafka

PySpark

Docker

Kubernetes

Job description

Why Work at Lenovo

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).

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.

What You’ll Do

• Build and maintain scalable real‑time data 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, and optimized for performance and cost.

What We’re Looking 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) Familiar 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.