Data Architect, Lead

Lead Data Platform Architect

About the role

Define the architecture of a scalable, reliable data platform and guide its implementation across engineering teams. Translate data requirements into clear designs for ingestion, processing, storage and access, with attention to governance, security and operational resilience.

Key responsibilities

• Develop data-platform architecture, data models and standards for batch and streaming use cases.
• Define how data is ingested, transformed, stored and accessed across platform components.
• Guide decisions on data quality, metadata, lineage, security and retention.
• Review engineering designs for scalability, availability, recovery and maintainability.
• Work with application, data and infrastructure engineers to resolve design dependencies and guide implementation.

Requirements

• Demonstrated experience designing complex data platforms and providing technical architecture leadership.
• Strong understanding of data modelling, integration patterns, distributed processing and storage design.
• Ability to define data-quality, governance, security and lifecycle requirements.
• Experience evaluating scalability, performance, availability and recovery trade-offs.
• Ability to communicate designs clearly and guide engineers through implementation.

Good to have

• Experience with technologies relevant to the wider programme, such as Kafka, Spark, Flink, Kubernetes and S3-compatible object storage.
• Experience with resilient data platforms, Agile delivery or architecture in complex operational environments.

Interested candidates are encouraged to submit their resumes outlining their relevant experience and achievements to apply88(@)talentvis.com or click apply!

We regret to inform that only shortlisted candidates would be notified

EA License No: 04C3537

EA Personnel No: R22106683

EA Personnel Name: Yang Hui Shan, Sherri