Cloud Architect - Data (Azure) – Power BI Solution Expert

PurposeThe Senior Data Analytics & Data Engineering Architect is a key member of the Common Data Intelligence (CDI) Hub, responsible for designing, evolving, and governing T-Systems’ central Azure Lakehouse architecture. The role focuses on transforming traditional data warehouse landscapes into modern, cloud-native data platforms that enable enterprise-scale analytics, advanced data use cases, and governed self-service BI.Team / Project DescriptionThe Common Data Intelligence (CDI) Hub is the central data and analytics organization responsible for defining and operating enterprise-wide data platforms and standards. The team works across business domains and international engineering units to deliver scalable, secure, and future-ready Azure-based analytics solutions.WHAT WILL YOU DO?Design and evolve the enterprise Azure Lakehouse architecture, ensuring scalability, performance, and long-term sustainability.Lead the transformation of classic Data Warehouse environments into modern Lakehouse and Delta Lake-based architectures.Take architectural ownership from concept through implementation, production rollout, and continuous optimization.Define and implement architecture principles, standards, patterns, and best practices for data engineering and analytics platforms.Design and oversee data ingestion, processing, and streaming pipelines using Azure Databricks, Azure Data Factory, Event Hub, and Azure Logic Apps.Build and optimize data processing solutions using Delta Lake, Spark, Spark Structured Streaming, SQL, and Python.Define data modeling strategies across data lake and warehouse layers, applying Kimball, Inmon, and Data Vault methodologies.Collaborate with engineering teams to implement reference architectures, prototypes, and proof-of-concepts.Enable and coach data engineering teams toward autonomous, high-quality solution development.Ensure platform designs comply with enterprise security, data protection, and regulatory requirements.Support advanced analytics, self-service BI, and reporting use cases across the organization.Work closely with product owners, architects, governance, and business stakeholders in agile delivery environments.Contribute to continuous improvement of platform architecture, development processes, and operating models.YOU WILL SUCCEED IF YOU:have a degree in (Business) Informatics, Business Administration, or equivalent practical experiencehave senior-level experience in Data Platform / Lakehouse Architecture – Experthave 5+ years of hands-on experience in data engineering or data architecture roleshave proven experience transforming traditional Data Warehouse landscapes into Lakehouse / Delta Lake architectureshave strong architectural ownership mindset, covering design, implementation, and production readinesshave deep hands-on experience with Azure Lakehouse technologies – Advanced to Experthave strong expertise in Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Event Hub, Azure Synapse, and Azure Logic Appshave advanced skills in Delta Lake, Spark, Spark Structured Streaming, SQL, and Pythonhave deep understanding of data lake storage architectures and modern data processing paradigmshave solid knowledge of relational and multidimensional databaseshave strong experience with data warehouse modeling approaches (Kimball, Inmon, Data Vault)have experience designing scalable IT platforms, processes, and operating modelshave the ability to define architecture principles, standards, and best practices at enterprise levelhave experience implementing prototypes, evaluations, and reference solutionshave strong security and compliance awareness, including handling business-critical and personal data in regulated environmentsare comfortable working in agile environments using Scrum or Kanbanhave an open, communicative working style and enjoy cross-functional collaborationdemonstrate a solution-oriented, analytical, and structured mindsetPOSSIBLE SPECIALIZATIONExperience with Reporting, Analytics, and Dashboarding solutionsHands-on experience with Power BI developmentExposure to Microsoft Power Platform (Power Automate, Power Apps)Azure certifications such as:DP-203 (Data Engineering on Microsoft Azure)DP-900 (Azure Data Fundamentals)AZ-900 (Azure Fundamentals)AI-900 (Azure AI Fundamentals)DP-100 / DP-300 / DP-420Experience working in large, international enterprise data & analytics organizationsWHY SHOULD YOU CHOOSE US?We believe in balance between work and personal life. An attractive and extensive work-life balance portfolio guarantees lasting motivation for employees and thus a better quality of life, promotes physical and mental well-being and contributes to a positive work environment. All this with the aim of providing more freedom in reconciling work, career growth, private life and individual lifestyle. Therefore we offer to our employees over 25 different benefits to improve their personal and professional life in these areas:Financial benefitsBenefits with fo