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GCP Big Query Architect

Posted 3 days ago by Spencer Rose Ltd

Spencer Rose are urgently seeking an experienced GCP Big Query Architect to work for our Banking client for a minimum 6 month contract (extensions highly likely), to start ASAP.

Start: ASAP (allowing up to 2 weeks for vetting and onboarding)

Day Rate: £500pd Inside IR35

Hybrid: 2 days a week in the office

Duration: 6 months initially

Key Responsibilities

  • Design and implement scalable, secure, and high-performance data architectures on GCP, with BigQuery as the core data warehouse.
  • Define end-to-end data architecture, including ingestion, transformation, storage, governance, and reporting.
  • Lead migration of Legacy data warehouses and ETL workloads to GCP and BigQuery.
  • Design optimized BigQuery schemas, partitioning, clustering, and performance tuning strategies.
  • Develop data pipelines using Cloud Dataflow, Dataproc, Cloud Composer, Cloud Functions, Pub/Sub, and Cloud Storage.
  • Work with client business and technical teams to understand requirements and translate them into scalable cloud solutions.
  • Establish best practices for data governance, security, metadata management, and data quality.
  • Ensure compliance with enterprise security standards using IAM, encryption, audit logging, and networking best practices.
  • Provide technical leadership, mentor development teams, and perform architecture and code reviews.
  • Collaborate with DevOps teams to implement CI/CD pipelines and Infrastructure as Code (Terraform preferred).
  • Support solution estimation, proposal preparation, technical presentations, and client workshops.
  • Drive performance optimization, cost optimization, and operational excellence across GCP services.

Ideally, you will hold the relevant GCP certifications.

The interview process will take place from next week, so APPLY NOW for immediate review.

Rate:
£500/day
Location:
South West
IR35 Status:
Inside
Remote Status:
Hybrid
Industry:
IT
Seniority Level:
Not Specified

Take-Home Pay

£7,000 per month

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