GCP Data Architect

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London / £500 - £600 day

INFO

Salary
SALARY:

£500 - £600

Location

LOCATION

London

Job Type
JOB TYPE

Contract

GCP Data Architect -

6-Month Contract
London (Fully Remote)
£500-£600 per day

This is an exciting opportunity for a GCP Data Architect to lead the foundational architecture of a new GCP data platform and landing zone for an insurance data consultancy. You'll design and implement a scalable, secure, and high-performance data environment, leveraging BigQuery, Dataform, and IAM security best practices.

The Company

This consultancy specializes in data-driven solutions for the insurance sector, helping businesses unlock insights through cloud-based analytics. With a strong focus on governance, security, and scalability, they are building a next-generation GCP data platform to support advanced analytics and decision-making.

The Role

As a GCP Data Architect, you will play a key role in designing and implementing the company's GCP data platform from the ground up. You will be responsible for:

  • Architecting and deploying a scalable GCP data platform and landing zone.

  • Designing BigQuery-based data warehouses optimized for performance and efficiency.

  • Implementing Dataform workflows for data transformation and modeling.

  • Defining IAM security policies to ensure access control and compliance.

  • Working closely with stakeholders to align architecture with business needs.

  • Providing best practices for governance, monitoring, and cost optimization.

Key Skills & Requirements

To be successful in this role, you should have:

  • Strong experience designing and deploying GCP data architectures.

  • Expertise in BigQuery, Dataform, and IAM security.

  • Experience setting up landing zones and managing cloud governance.

  • Proficiency in SQL and data modeling for cloud-based analytics.

  • A strategic mindset with the ability to balance scalability, security, and performance.

How to Apply

If you're a GCP Data Architect looking for a hands-on role in shaping a cutting-edge data platform, apply now by submitting your CV via the link on this page.

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