Senior Data Platform Architect

About the role

Klook, a pan-regional experiences platform in Asia Pacific, is looking for a seasoned Data Platform Architect with deep expertise in modern data technologies (Flink, Kafka, Lakehouse, Paimon, Doris, BigQuery) and Google Cloud Platform. You will design, build and optimise scalable data platforms integrated with data ingestion, warehousing, AI/ML pipelines (Vertex AI) and data governance (Data Catalog), acting as a hands-on leader who bridges technical execution with strategic vision.

Key responsibilities

• Design and implement scalable, real-time data solutions using Apache Flink, Kafka, Lakehouse architectures, Apache Paimon, Apache Doris and BigQuery.
• Optimise data pipelines for batch and streaming workflows with low latency and high throughput.
• Lead GCP-based data ingestion (Pub/Sub, Dataflow), warehousing (BigQuery, Dataproc) and ML pipelines (Vertex AI, TFX).
• Implement DataOps/MLOps practices for CI/CD, monitoring and governance.
• Deploy and manage data catalogs (Data Catalog, Collibra, Alation) for metadata, lineage and compliance, and enforce data quality, security and access controls.
• Work with AI/ML teams to productionise models and embed analytics, and mentor engineers and evangelise cloud-native data architectures.

Required profile

• 8+ years in data engineering, architecture or solutions roles, with at least 3 years focused on GCP.
• Proven track record designing large-scale data platforms (10M+ rows/day).
• Ability to turn business needs into technical solutions.
• Certifications such as GCP Professional Data Engineer or AWS/Azure equivalents are a plus.

Required skills

• Flink, Kafka, Paimon, Doris, Spark and strong SQL, Python, Java and Scala.
• GCP services: BigQuery, Dataflow, Pub/Sub, Dataproc, Vertex AI, Cloud Storage.
• Data lakehouse frameworks (Delta Lake, Iceberg, Hudi) and data catalogs (GCP Data Catalog, OpenMetadata).
• Nice to have: multi-cloud knowledge (AWS S3 + GCP) and exposure to LLM pipelines, vector databases or generative AI workflows.