Data Platform Architect (with GCP) - Automation & Innovation Department

Architecture & Standards
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.
Design & Integration
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.
Collaboration & Platform Evolution
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.

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