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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
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Description and Requirements
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) 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
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