Data Architect

synergies across all specialist areas through a consistent, holistic view of the DTT landscape. 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). - Architecture & Design: Proven track record in specifying end-to-end architectures, microservices, and cloud-native solutions. Ability to document concepts using UML. - Security & Networking: Deep understanding of cloud network security, IAM, and encrypted data management. - Business Acumen: Experience in technology consulting, stakeholder management, and the application of cost-benefit calculation principles. - Soft Skills & Mindset: - Agile mindset with practical exp

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. As a catalyst for digital transformation, DBIZ bridges the gap between innovative ideas and technical reality. We provide end-to-end digitization solutions-from initial solution design to full-scale software implementation. Our mission is to drive cultural change and generate