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

Job title description

• Define architectural standards and blueprints for hybrid cloud/on-premise data platforms.

• Lead the design and integration of Spark-based analytics, Kubernetes orchestration, GCP services.

• Collaborate with engineering and business teams on data analytics platform initiatives.

• Set and maintain best practices for scalability, reliability and maintainability.

• Guide teams through migration, modernization and optimization projects.

• Document and communicate data architecture, integration patterns and workflows for technical audiences.

• Evaluate and recommend technologies and methodologies fitting business and compliance needs.

• Support teams in troubleshooting, performance tuning and strategic planning.

Requirements

• 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.

As Data Platform Architect, you will provide strategic leadership in designing the architecture for modern analytics and data platforms. You will define scalable data solutions, set technology standards and guide engineering teams in building high-quality platforms both on-premise and in the cloud.