Informacje o stanowisku

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.

The Automation & Innovation Department builds solutions powered by AI, GenAI, process automation (RPA, BPA, AIM) and data analytics/ML models running in GCP, AWS and Kubernetes . We deliver a wide range of projects across T-Mobile - from network operations to sales and customer care, plus internal and international initiatives - with a strong focus on data platforms and data engineering (data lake/warehouse in BigQuery, ETL/ELT orchestration, data governance, data quality and security). Our portfolio includes things like conversational assistants for HR and sales, knowledge search tools for consultants, employee development apps or proactive customer communication systems.

We work in a fast, flexible environment with a startuplike mindset — we value creativity, rapid experimentation, and technologies that genuinely make teams’ work easier and improve customer experience. By combining AI + automation + data, we build solutions that shape the future of processes, services and technology at T-Mobile .

• 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.

The Automation & Innovation Department builds solutions powered by AI, GenAI, process automation (RPA, BPA, AIM) and data analytics/ML models running in GCP, AWS and Kubernetes . We deliver a wide range of projects across T-Mobile - from network operations to sales and customer care, plus internal and international initiatives - with a strong focus on data platforms and data engineering (data lake/warehouse in BigQuery, ETL/ELT orchestration, data governance, data quality and security). Our portfolio includes things like conversational assistants for HR and sales, knowledge search tools for consultants, employee development apps or proactive customer communication systems.

We work in a fast, flexible environment with a startuplike mindset — we value creativity, rapid experimentation, and technologies that genuinely make teams’ work easier and improve customer experience. By combining AI + automation + data, we build solutions that shape the future of processes, services and technology at T-Mobile .

,[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: GCP, BigQuery, PUB, Spark, Kubernetes, DWH, Big data, Cloud, Stakeholder management

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