Requirements

Expected technologies

GCP

BigQuery

Dataflow

Dataproc Pub/Sub

Spark

Kubernetes

Our 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.

Your responsibilities

• 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.