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 ?.
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.
responsibilities :
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.
requirements-expected :
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.
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
life insurance
remote work opportunities
flexible working time
corporate products and services at discounted prices
