GCP Data Architect

The GCP Solution Architect / Data Architect plays a critical role in designing, governing, and delivering enterprise-scale data and cloud solutions across finance transformation programmes. This hybrid position combines strategic solution architecture with hands‑on data architecture expertise to enable resilient, scalable, and cost-effective data platforms. The role ensures alignment with enterprise standards, supports quarterly planning, and guides engineering teams through iterative delivery cycles.

Your responsibilities:

• Lead end‑to‑end architecture design for cloud‑native data solutions on GCP.
• Shape architectural direction, ensuring alignment with security, data governance, and compliance standards.
• Drive iterative design practices, influencing product owners, engineering teams, and cross‑platform stakeholders.
• Develop architectural roadmaps supporting quarterly planning cycles and long‑term finance transformation goals.
• Design conceptual, logical, and physical data models for financial, regulatory, and operational datasets.
• Define ingestion, transformation, storage, and consumption patterns.
• Establish principles for metadata, lineage, reference data, and data stewardship.
• Collaborate with SMEs to translate business requirements into scalable data models.
• Architect solutions using GCP services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, Cloud Functions, and IAM.
• Design cost‑optimised workloads and implement best practices for performance and scalability.
• Support engineering teams with reusable patterns, blueprint architectures, and cloud engineering guidance.
• Work with CTO architects, data platform teams, and transformation leads to influence platform decisions.
• Participate in architecture boards, design forums, and technical governance committees.
• Clearly articulate technical decisions and direction to non‑technical and senior stakeholders.

Good‑to‑Have Skills

• Strong expertise in GCP architecture (BigQuery, Dataflow, Pub/Sub, IAM, Composer).
• Deep understanding of metadata, lineage, data governance, and reference data frameworks.
• Strong experience with finance data flows—ledger, MI, reconciliation, and reporting.
• Ability to lead engineering teams and drive architectural consistency.

Your Profile

• Strong expertise in GCP architecture (BigQuery, Dataflow, Pub/Sub, IAM, Composer).
• Deep understanding of metadata, lineage, data governance, and reference data frameworks.
• Strong experience with finance data flows—ledger, MI, reconciliation, and reporting.
• Ability to lead engineering teams and drive architectural consistency.

Qualifications

• Google Professional Cloud Architect (PCA) – preferred.
• Google Professional Data Engineer (PDE) – preferred.
• Knowledge of CI/CD pipelines (Cloud Build, GitHub Actions, Jenkins).
• Familiarity with data quality and lineage tools.
• Understanding of hybrid and multi‑cloud patterns.
• Strong communication, negotiation, and stakeholder management skills.

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