Solution Architect, Data (Gcp / Aws)

You’ll own the data architecture for a high-volume online marketplace, part-way through a major, multi-year technology transformation.

The current stack runs on Google Cloud Platform: BigQuery for storage and consumption, DBT for transformations, and Data Stream. Reporting is on Looker today, and moving the business toward a self-service reporting model is a core goal.

There’s real architecture work in front of you. The business doesn’t yet have a defined data strategy, and BigQuery consumption costs are climbing, so optimising data models and building in cost management is a live priority, not a future one.

The wider platform is migrating to AWS, and the data estate moves with it. The near-term focus is the current GCP stack, optimising models and cutting BigQuery cost, but you’ll be architecting toward the AWS target state from the start rather than just maintaining what exists.

The platform

You’ll also shape structural change. The data team currently sits under Finance and is fragmented, with a plan to bring it under technical leadership, and data scientists are being introduced on the seller side to support seller attraction and analytics. A larger data transformation is expected further down the line.

This is a genuinely large-scale marketplace. Very few platforms handle a product catalogue or transaction volume at this level.

The roadmap includes agentic AI workflows built into the platform, retail media integrated directly into the marketplace, and infrastructure work targeting cost and performance at high volume.

• Deep hands-on knowledge of GCP data tooling: BigQuery, DBT, and pipeline tooling such as Data Stream
• Comfortable across GCP and AWS, able to optimise the current estate while architecting toward the AWS target state
• You can design and optimise data models with consumption cost in mind
• Experience building toward self-service reporting and analytics
• You can set data strategy, not just implement against one
• Comfortable working in English, written and spoken

Nice to have:

• Experience moving reporting off Looker or running a BI tooling transition
• Experience migrating a data platform from GCP to AWS, or between major cloud providers
• Exposure to embedding data science within product or commercial teams
• Experience planning a larger data transformation programme