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.
Key Focus
* 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.
About You
* 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.
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