GCP Data Architect

The Role

This role will play a critical part in architecting and modernising cloud-native data platforms on Google Cloud Platform for a major financial services environment.

You will design scalable, secure, resilient, and costoptimised data solutions that serve highvolume, highregulatory workloads.

The role provides exposure to large-scale transformation programmes, modern engineering practices, mature data governance frameworks, and access to advanced GCP services, enabling you to influence enterprise-wide data strategies.

Your responsibilities:

• Architect end-to-end data solutions using GCP services such as BigQuery, Dataflow, Pub/Sub, Dataproc, GCS, and Composer.

• Design robust data models (conceptual, logical, physical) for complex risk, operations, analytics, and regulatory data domains.

• Build scalable ingestion and transformation frameworks with an emphasis on quality, lineage, metadata, and auditability.

• Define and enforce cloud architecture best practices, security patterns, IAM policies, and data protection standards.

• Lead cost optimisation, performance tuning, and reliability engineering across cloud data workloads.

• Collaborate with engineering squads, product owners, and stakeholders in an Agile environment to deliver technical roadmaps.

• Provide architectural governance, technical oversight, and reusable frameworks to development teams.

• Drive cloud modernisation and legacy-to-cloud migration initiatives across multiple data estates.

• Conduct POCs and evaluate emerging tools to strengthen the organisation’s cloud data capabilities.

• Ensure full compliance with regulatory, audit, and enterprise data governance requirements.

Essential skills/knowledge/experience:

 Identifying the correct architecture patterns for workload deployment and ensuring governance

 Managing data lineage and quality aspects of DPs

 Understanding and defining SRE principles such as SLOs, SLIs, and SLAs for each workload

 Supporting feature teams across the lab in optimizing FinOps for live workloads

 Developing and deploying data pipelines using various GCP services

 Implementing TDD for unit testing and DBB for functional testing

 Reviewing and creating FinOps dashboards for the lab

 Creating custom Dynatrace monitoring and alerting

 Integrating Looker and enabling reporting for end-users within general guardrails

• Experience in designing high-volume ingestion, transformation, and analytics pipelines.

• Strong knowledge of data governance, lineage, metadata management, and regulatory controls.

• Demonstrated ability to work with cross-functional Agile teams and influence technical direction.

• Experience executing cloud migration or platform modernisation programs.

• Excellent architectural documentation, communication, and stakeholder engagement skills.

Desirable skills/knowledge/experience:

• GCP Professional Data Engineer or Cloud Architect certification

• Experience in BFSI domains such as AML, Fraud, Risk, Finance, or Regulatory Reporting.

• Exposure to real-time streaming, ML Ops, and advanced analytics architectures.

• Experience with platform observability tools and cloud cost management framework