Data Solutions Architect

Most cloud migration projects sound straightforward on paper. This one isn't.

Behind the scenes sits a deeply embedded open-source data ecosystem powering large-scale workloads across streaming, analytics, and operational data. The business has committed to a major move into Google Cloud — but success depends on getting the architecture right from day one.

That's where you come in.

This opportunity is built for someone who understands the reality of enterprise data transformation. Someone who can look at a complex stack built around Spark, Kafka, Hive, Flink, and Trino, then design a practical and scalable path into a modern GCP-native environment without losing performance, governance, or operational stability along the way.

You won't just be reviewing diagrams from the sidelines. You'll be the person shaping the target-state architecture, influencing migration decisions, and guiding engineering teams through the challenges that come with modernising a live data platform at scale.

What's in it for you

• Take ownership of a high-impact enterprise cloud migration programme
• Influence architectural direction across both batch and real-time data platforms
• Work with modern GCP services including BigQuery, Dataplex, Dataflow, Dataproc, and BigLake
• Operate in a role with strong visibility across technical and client leadership teams
• Join a business continuing to invest heavily in cloud and data transformation capability
• Build long-term credibility as a trusted advisor on complex migration programmes

What you'll be doing

You'll lead the architectural strategy for moving a sophisticated open-source data platform into Google Cloud, helping define how legacy workloads evolve into a scalable lakehouse environment.

Part of your role will involve translating technical complexity into clear architectural direction — balancing governance, performance, scalability, and delivery practicality. You'll work closely with engineering teams to guide implementation, while also leading workshops with stakeholders to align on migration priorities and platform strategy.

This is a role that blends technical depth with influence. You'll need to be equally comfortable discussing streaming architectures with engineers as you are presenting migration approaches to senior client stakeholders.

Your background

• Strong experience designing cloud-based data platforms within enterprise environments
• Deep understanding of the Google Cloud data ecosystem and modern lakehouse architecture
• Hands-on exposure to technologies such as Spark, Kafka, Flink, Hive, Trino, and Airflow
• Experience migrating existing big data or open-source platforms into cloud-native environments
• Ability to shape governance, lineage, orchestration, and data quality frameworks
• Confident communicator with experience running architecture workshops and stakeholder sessions
• Google Cloud Professional Data Engineer certification is advantageous
• Thai language skills are preferred

The environment

You'll be joining a technology services organisation delivering large-scale transformation programmes for enterprise clients across the region. The culture is fast-moving, technically strong, and focused on solving complex platform challenges rather than delivering templated solutions.

For the right person, this is an opportunity to step into a role where your architectural decisions will directly influence how a major data platform evolves over the coming years.