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Lead AI GCP Architect
Job summary
An innovative technology firm is seeking a Lead AI GCP Data Architect to design and implement a modern, cloud-native data landscape. This role requires a blend of strategic vision and hands-on technical leadership, focusing on architecture, governance, and collaboration across teams. The ideal candidate will have deep GCP expertise and a strong background in cloud-native data architecture in the retail or consumer sector.
Qualifications
- Strong track record in cloud-native data architecture with deep GCP expertise.
- Experience designing and implementing complex data ecosystems.
- Confident engaging senior stakeholders and influencing technical direction.
Responsibilities
- Define and evolve enterprise-wide data models and pipelines.
- Lead the design and optimisation of GCP-based data platforms.
- Embed frameworks for data quality, security, and AI enablement.
Skills
Tools
Lead AI GCP Data Architect - Contract
Contract: 6 months initial engagement
IR35: Outside IR35
Rate: DOE
Location: Global remit (flexible base)
The Role
We're looking for a Lead AI GCP Data Architect to design and drive a modern, cloud-native data landscape that underpins large-scale transformation. This role blends strategy with hands-on delivery, ensuring platforms, pipelines, and governance frameworks are robust enough to power AI adoption, customer innovation, and enterprise-wide decision making.
You'll shape the future state architecture, modernise the current estate, and establish best practices that enable data-driven growth at pace.
Architecture leadership - Define and evolve enterprise-wide data models, pipelines, and integration patterns; ensure scalability, security, and performance.
Cloud platform strategy - Lead the design and optimisation of GCP-based data platforms, driving efficiency, cost control, and future-readiness.
Governance & compliance - Embed frameworks for data quality, security, and ethical AI enablement.
Collaboration & influence - Partner with engineering, analytics, and business stakeholders, ensuring architecture aligns to strategic goals.
Innovation & mentoring - Champion modern approaches, introduce emerging tech, and guide data teams in best practices.
Strong track record in cloud-native data architecture with deep GCP expertise (BigQuery, Dataform, GCS, Vertex AI).
Experience designing and implementing complex data ecosystems across pipelines, storage, and integration.
Skilled in simplifying and modernising architectures while balancing innovation, cost, and governance.
Confident engaging senior stakeholders and influencing technical direction across global organisations.
Retail or consumer sector experience preferred; private sector experience essential.
Knowledge of security, FinOps, and emerging data/AI technologies.
This role is ideal for an architect who can combine strategic vision with hands-on technical leadership, enabling global teams to unlock the full value of data and AI.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.
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