GCP Data Architect
VIQU Ltd
3 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
£ 90KJob location
Remote
Tech stack
Google BigQuery
Databases
Data Architecture
Data Governance
ETL
Data Systems
Data Warehousing
Data Strategy
Data Management
Job description
This is a hands-on, high-impact architecture role where you'll work closely with the Principal Data Engineer and Principal Platform Engineer, challenging ideas and shaping robust solutions., * Owning the data platform architecture on GCP
- Setting architecture standards, governance, and best practice
- Designing batch, event-driven, and streaming pipelines
- Embedding Data Mesh and Data-as-a-Product principles
- Ensuring data products are discoverable, interoperable, and trusted
- Producing clear architectural documentation and diagrams
- Acting as a trusted advisor on data strategy and roadmap
- Mentoring engineers and raising technical maturity across teams
Requirements
- Proven experience as a Data Architect/Data Solutions Architect
- Strong GCP experience, particularly BigQuery
- Deep understanding of data mesh, data warehousing, and ETL/ELT
- Experience with MPP databases and large-scale data platforms
- Strong grasp of data governance, security, and GDPR
- Confident communicator who can influence engineers and non-technical stakeholders
- A natural leader with drive, ownership, and accountability
This is a rare opportunity to define how data architecture works across an organisation, not just maintain what already exists - all in a fully remote role.
About the company
VIQU have partnered with a data-led organisation that has recently transitioned from on-prem to Google Cloud Platform and is now building a modern Data Mesh platform.
The foundations are in place, but this role is about taking the platform from working to world-class. They're looking for a senior Data Architect who can define the vision, set the standards, and bring clarity to how data products are designed, governed, and consumed across the business.
Think of it as having the menu and ingredients - you'll own the recipe, the order, and the rules that make it scalable and repeatable.