Key Responsibilities
- Design scalable, secure and high-performance GCP/BigQuery data architectures
- Lead migration of Legacy data warehouses and ETL workloads to GCP
- Define end-to-end architecture across ingestion, transformation, storage, governance and reporting
- Design and optimise BigQuery schemas, partitioning, clustering, performance and cost
- Provide technical leadership, architecture reviews and stakeholder guidance
- Support CI/CD, Infrastructure as Code and cloud governance best practices
Mandatory
- 10+ years' IT experience, including 5+ years in GCP data engineering/architecture
- Strong BigQuery architecture, optimisation and administration
- Hands-on experience with Dataflow, Dataproc, Pub/Sub, Cloud Composer, Cloud Storage, Cloud Functions and Cloud Run
- Strong SQL, data modelling and data warehousing
- Proven experience migrating legacy/on-premise platforms to GCP
- Experience with Terraform, CI/CD, Git and DevOps
- Good understanding of IAM, security, networking and cloud governance
- Experience integrating Looker, Tableau or Power BI with BigQuery
- Strong client-facing and stakeholder management skills
Bonus
- Google Cloud Professional Data Engineer or Cloud Architect certification
- Experience with Dataplex, Data Catalog or Vertex AI
- Experience within large-scale enterprise transformation programmes
Industry:
Data & Analytics