Cloud Data Architect - Freelance Consultant

Role: GCP Data Architect (Hands-on)

Consulting Seniority: Manager-Senior Manager

Day rate: TBC

Project duration: (12 months) May 2025 - May 2026, full-time

Location: London/Hybrid

We are supporting an exciting strategy and technology consultancy looking to bring on a freelance GCP Data Architect for data platform transformation in a big FMCG/CPG multinational. The role focuses on coordinating and optimising the delivery of data-driven insights while advancing AI capabilities. You'll be dealing with several senior stakeholders with different motivations, so strong soft skills is imperative.

• Design and deliver end-to-end data and analytics solution architectures from concept to implementation on Google Cloud Platform (GCP)
• Develop conceptual, logical, and physical data models to support advanced analytics and machine learning use cases
• Ensure alignment with industry-standard data architecture principles, standards, and best practices, and drive their integration with other domains
• Lead the design, sizing, provisioning, and configuration of GCP environments and core services including BigQuery, Dataflow, and Cloud Storage
• Provide mentorship and technical guidance on GCP-based data architecture to engineering, analytics, and business teams
• Review and validate solution architectures to ensure appropriate technology choices, optimal resource utilisation, and seamless integration across platforms

• Nice to have: Professional GCP Data Engineer certification
• Nice to have: Full-time experience in a consulting environment
• Proven track record delivering multiple data and analytics solutions on Google Cloud Platform (GCP)
• Recent hands-on experience with GCP-native tools including Dataflow, Pub/Sub, Dataproc, Cloud Composer, and Data Fusion
• Deep expertise in GCP data warehousing and analytics services such as BigQuery, Cloud Storage, and Looker
• Familiar with modern data architecture concepts: Data Mesh, Data Fabric, Data Products, and Data Contracts, with practical experience in data mesh implementation
• Strong understanding of various data modelling techniques including Relational, Star, Snowflake, and Data Vault; experienced in working with transactional, time-series, and unstructured datasets
• Working knowledge of Artificial Intelligence (AI) and Generative AI, with experience using Vertex AI for building and training ML models
• Solid grasp of cloud infrastructure and security, including IAM, VPCs, VPNs, firewall rules, GKE, and service accounts
• Strong foundation in computer science/software engineering, with hands-on experience in DevOps, DataOps, and CI/CD methodologies
• Practical expertise with tools such as Terraform, Cloud Build, GitHub Actions, and scripting languages like Python and Bash

Consulting levels considered: Manager; Senior Manager; Principal

We appreciate you making an application and aim to respond to all candidates.

Many thanks,

Blackbook Community Team