Senior Data Architect (m/f/d)

T-Systems is part of the Deutsche Telekom Group, with around 30.000 employees worldwide. We create technology with purpose to generate a positive impact on society. We are looking for curious talent, eager to learn, take on challenges, and contribute ideas that transform our customers’ experience. We trust people: we offer autonomy, continuous support, and a collaborative environment where you can grow without limits. We are one global team, guided by respect, integrity, and a passion for doing better every day. Job Description We are Digital Business (DBIZ), a core part of Deutsche Telekom Technik (DTT), the entity responsible for planning, building, and operating Germany’s wireless and optical networks. To support this mission, we are expanding our Technik Value Stream teams. These teams are the engine of our data-driven strategy, carrying end-to-end responsibility for the data lifecycle on the ODE. Key focus areas include: Data Ingestion: Seamlessly bringing diverse data sources into the ODE. Product Development: Building and refining high-impact data products that empower DTT. Operations: Ensuring the reliability and excellence of our data products in a live environment. Task Description: You will work on data-projects that optimize the planning, building, and operation of our fixed-line and mobile networks. Working within a cross-functional team, with taks in following areas Architectural Design & Strategy: Analyze and assess complex requirements to create end-to-end technical designs and architectures. You will lead the product/service development from initial concept to launch across the entire lifecycle. GCP Infrastructure Management: Efficiently deploy and manage robust infrastructure on Google Cloud Platform (GCP). This includes designing network architectures (Shared VPC, Hub-and-Spoke), configuring DNS, VPN, Load Balancing, and core services like GKE, Cloud Run, and Compute Engine. Automation & CI/CD: Implement and manage infrastructure as code using Terraform. Integrate and optimize GitLab Magenta CI/CD pipelines to automate deployment, testing, and configuration across DEV, TEST, and PROD environments. Data Engineering & AI: Design data processing workflows using Hadoop/Hive and PySpark, orchestrated via Airflow/Composer. Handle data integration from various sources (CDI, TARDIS APIs, GCS) and implement AI solutions using Google Vertex AI. Security & Compliance: Enforce rigorous security measures, including IAM policies, Secret Manager, firewalls, and Identity-Aware Proxy (IAP). Consultancy & Analysis: Act as a strategic consultant for Product Owners and stakeholders. Conduct cost-benefit breakdowns and ensure all technical solutions align with business goals through comprehensive documentation. Skills Requirements: GCP Expertise: Deep proficiency in Google Cloud Platform. Mandatory certification as a GCP Cloud Architect or Data Engineer. Technical Stack: Infrastructure: Solid knowledge of Terraform. Programming: Skilled in Python for application development and automation. Data & Orchestration: Proficiency in Hive, PySpark, BigQuery, and Airflow. DevOps: Strong experience with GitLab CI/CD and containerization (Kubernetes/GKE) What do we offer you? Work environment & flexibility International, dynamic and collaborative environment T-Social: social initiatives (sports, community, health, ...) Hybrid work model (remote/on-site) Flexible working hours Growth & development Customized training: access to Coursera to learn whatever you want, whenever you want Weekly language classes (English & German) International Mentoring Sessions & Experience Days Compensation & benefits Flexible compensation plan (health insurance, meal vouchers, childcare, transport) Telemedicine Life and accident insurance Social fund Wellbeing & time off 26+ working days of vacation per year Free access to specialist services (medical, legal, wellness) 100% salary coverage during medical leave