Define architectural standards and blueprints for hybrid cloud and on‑premise data platforms
Set and maintain best practices for scalability, reliability and maintainability
Evaluate and recommend technologies and methodologies aligned with business and compliance needs
Lead the design and integration of Spark‑based analytics, Kubernetes‑orchestrated workloads and GCP services
Document and communicate data architecture, integration patterns and workflows for technical audiences
Collaborate with engineering and business teams on data analytics platform initiatives
Guide teams through migration, modernization and optimization projects
Support teams in troubleshooting, performance tuning and strategic planning

5+ years experience in data platform architecture or engineering
Deep knowledge of GCP (BigQuery, Dataflow, Dataproc Pub/Sub), Spark, Kubernetes, DWH, Big Data
Proven leadership in hybrid cloud/on-premise integration projects
Strong skills in technical documentation, system design and stakeholder management
Experience with cloud-native migrations and hybrid architectures
Familiarity with data governance and advanced analytics frameworks

Data Platform Architect, GCP

Key skills