GCP Data & AI Architect

London Full-Time No home office possible

This range is provided by Anson McCade. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Role : Data Architect (GCP)

Location : London

We are supporting a global technology services provider in the strategic expansion of their Google Cloud Data and AI practice, with multiple opportunities available for experienced professionals across architecture and engineering. This unit is driving major transformation initiatives with flagship enterprise clients, with a focus on intelligent data platforms, AI-driven analytics, and scalable cloud-native solutions.

Role Overview

This is a strategic and hands-on opportunity for an experienced Data Architect to lead the development of a robust, scalable data architecture on Google Cloud Platform (GCP). You’ll be responsible for defining the platform strategy, leading a team of data engineers, and ensuring high standards of data quality, compliance, and performance across enterprise-grade data environments.

Key Responsibilities:

Design and implement enterprise-level data architecture strategies on GCP.
Gather client requirements and translate business challenges into scalable data solutions.
Act as a trusted expert on GCP data and AI solutions, both internally and with client stakeholders
Design and deliver scalable architectures across data lakes, pipelines, AI/ML models, and real-time analytics
Work in collaboration with Google Cloud teams, ensuring alignment to best practices and cutting-edge services
Build reusable assets, accelerators, and frameworks to drive project delivery and consistency
Lead a team of data engineers through implementation phases, ensuring alignment to architectural best practices.

Required Experience:

Proven experience working with Google Cloud (GCP) on major data or AI transformation projects
Proven track record in designing and maintaining large-scale data warehouses and data lakes.
Expertise in GCP data services including BigQuery, Composer, Dataform, DataProc, and Pub/Sub.
Strong programming experience with Python, PySpark, and SQL.
Hands-on experience with data modelling, ETL processes, and data quality frameworks.
Proficiency with BI/reporting tools such as Looker or PowerBI.
Excellent communication and stakeholder management skills.
Google Cloud Professional certifications.
Experience in alternative cloud data platforms such as Snowflake, Databricks, Azure, or AWS.
Understanding of DevOps/DataOps practices, CI/CD pipelines, and monitoring tools.
Academic background in Computer Science, Mathematics, or a related technical field.

What’s on Offer

Competitive salary of £80,000 – £130,000 + bonus and full benefits package
Flexible hybrid working from a central London base
Continuous professional development with access to leading certification programs (Google, AWS, Microsoft)
Dynamic, inclusive culture supported by internal networks and equity-focused initiatives
Involvement in innovative, high-impact projects for Fortune 100 clients

These are high-impact roles for technologists with strong visibility in the GCP data and AI community. If you are already working closely with Google or have a reputation within the ecosystem, we want to hear from you.

Reference : AMC/JWC/GCPAL1

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Information Technology
Industries

IT Services and IT Consulting

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