GCP Solution Architect

iBSC; Rowberrow; Hybrid; GBP 129,000 - 185,000; Full time

Job summary

Unknown Client is seeking a GCP Solution Architect for a 6-month contract inside IR35 in the Bristol area. The role focuses on data engineering, architecture, and cloud-native data platforms using BigQuery, Dataflow, and Vertex AI, with strong emphasis on ETL/ELT, data modelling, and governance.

The candidate will lead data modernization initiatives, mentor engineers, and collaborate with stakeholders to deliver end-to-end enterprise data products, while balancing on-site and remote work within

Qualifications

• Strong expertise in Google Cloud Platform and data services.
• Experience delivering end-to-end enterprise data products.
• Leadership to mentor engineers and lead cross-functional teams.
• Experience with AI-enabled GenAI approaches for data engineering.
• Knowledge of data governance, metadata, and security.

Responsibilities

• Design, build, and deploy cloud-native data platforms and transformations.
• Lead end-to-end data engineering projects across architecture, development, and production support.
• Mentor engineers and guide multidisciplinary feature teams including architects, engineers, analysts and product stakeholders.
• Collaborate with stakeholders to translate business requirements into scalable cloud solutions.
• Drive data quality, governance, and security throughout data pipelines and platforms.

Skills

Data engineering

Data architecture

Cloud solutions

GCP

ETL/ELT design

Data modelling

Data warehousing

Data governance

MDM strategy

Senior technical leadership

AI-enabled GenAI approaches

Tools

BigQuery

Cloud Composer (Airflow)

Dataflow

Dataproc

Cloud Storage

Pub/Sub

Vertex AI

dbt

Python

SQL

Terraform

CI/CD

Job description

GCP Solution Architect

My client, a large consultancy, is in need of a GCP Solution Architect for a 6 month contract inside IR35 based in Bristol offering 3 days per week remote but requiring 2 days per week on-site.

The ideal candidate will have strong experience in Data Engineering, Data Architecture, and Cloud Solutions with strong expertise in Google Cloud Platform (GCP), Expert-level hands-on experience with GCP data services including BigQuery, Cloud Composer (Airflow), Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Vertex AI, Advanced proficiency in dbt, Python, and SQL for designing, building, and optimizing cloud-native data platforms and transformations, Strong expertise in ETL/ELT architecture, data pipeline development, data modelling, and data warehousing solutions, Proven experience delivering end-to-end enterprise data products, from architecture and design through implementation, deployment, and production support, Deep understanding of enterprise Data Architecture, including Data Mesh, Data Lakehouse, metadata, lineage, governance, and security frameworks, Extensive experience with Master Data Management (MDM) strategy, solution selection, integration, implementation, and enterprise data governance.

The ideal candidate will have Experience leveraging AI-enabled and GenAI-driven approaches for data engineering, development acceleration, automation, and intelligent analytics, Strong capability in data testing, validation, reconciliation, quality assurance, and production readiness assessments, Expertise in DevOps, CI/CD, Infrastructure as Code (Terraform), deployment automation, production go-live, and operational support, Experience leading cloud modernization, migration, and large-scale digital transformation initiatives, Demonstrated ability to provide senior technical leadership, mentor engineers, and lead multidisciplinary feature teams comprising architects, engineers, analysts, and product stakeholders, Excellent stakeholder management, communication, and consulting skills with the ability to translate business requirements into scalable cloud solutions.