The time to change is now! It is time to build a sustainable future and define how we evolve through technology with purpose. At Lisbon Tech Hub we create value in the business digital transition, from Portugal to the world, and IT solutions with purpose. Our team has more than 1300 experts working in areas such as Analytics & Business Intelligence, Application Lifecycle Management, Cybersecurity, IT Infrastructure Management, IT Project & Service Management and IT Strategy & User Experience. Lisbon Tech Hub innovates, designs, transforms the information technology solutions and services for Siemens through our delivery units. Transforming our future starts with every day! Lisbon Tech Hub is the home of the new technologists - Dream Builders, Impact Creators & Future Makers. Are you one of them? Join us! What role will you play? Data is at the heart of our business and one of our greatest assets. And we treat it like this. Who we are? - We are the Chapter Data Management at Siemens Financial Service’s Information Technology & Cybersecurity Function. We are a global team of experts accountable for Data Warehouse Architectures & Development Principles shaping Data Management of Today and Tomorrow. In Collaboration with all relevant stakeholders (e.g., Chapter & Delivery Lead, Business) and based on predefined business requirements, you design the Intra-Architecture of our Data Warehouse and Data Lake of Today and Tomorrow. This includes end-2-end responsibility form taking over the business requirements for a specific use case/ user story, translating them into technical solution designs and ensuring that your technical concepts are developed by your data engineering colleagues as requested. We work use case and project oriented, meaning that you take a leading role within the squad(s) you are assigned to as Technical Lead (e.g., for an upcoming migration a/o data integration project). In close collaboration with the Lead Data Architect, you develop further, govern, and communicate our Data Warehouse Architecture & Data Modelling Guidelines & Principles and thus ensure a standardized Data Warehouse Delivery and build of new features. You advise and support your data engineering colleagues in all their activities, proactively include the requirements of other colleagues (e.g., DWH Automation, Compliance & Governance/ GDPR/ Finance Regulatory) and always keep an eye on the needs of your squads and customers. You support your key management stakeholders, e.g., via well-targeted technical consultancy, effort estimation for the implementation of new features and preparation of senior and C-Level management meetings. You identify knowledge gaps in the squads and develop recommendations for action to close them eventually (e.g., through suggestions for training, coaching, workshops, etc.). As you also are familiar with at least one programming language (e.g., SQL, Python) you take over smaller software programming tasks if necessary. We are looking for: The basis of your success is a degree in Information Technology, Mathematics, Physics, Business Administration or equivalent with at least +3 years’ experience - Gained Knowledge in Finance and Banking Industry is a big plus. You are an enthusiast on data, data warehousing and engineering and you have gain several years of experience as a Data Warehouse Architect/ DWH Solution Design Expert in your current a/o previous positions or you are a Data Warehouse Developer with the willingness to make the next big move in her/ his/ its carrier. You have worked and gained practical knowledge with Cloud Data Warehouse Technologies (ideally Snowflake on Azure). You are familiar with innovative technologies and concepts of the Azure Eco-System (Azure Data Lake Gen2, Azure Data Factory, Kafka/ CDC, Docker/ Containerization, AKS/ Kubernetes, Azure Directory (AD), Data Warehouse Automation and API). You are familiar and you have a proven track record in Data Modelling with Data Vault 2.0. You have a proven track within the diverse fields of Data Warehouse Architecture (Data Vault 2.0, Multiple Layer-, Lamda-, Kappa-), Data Processing (Load Design Patterns, CDC, Stream, Batch, etc.) a/o in the setup and roll-out of complex rights-role concepts. At least, advanced programming experience in SQL. Familiarity with Design Patterns and Object-Oriented thinking. High motivation to meet deadlines, hands-on mentality, flexibility, and proactive support. High agile mindset, as well as particularly effective communication and presentation skills. English is necessary, German would be a plus. A proven project experience in migrating on-premises data warehouses such as SAP BW / SAP HANA, Oracle, Microsoft SQL Server to the Cloud (ideally Snowflake on Azure) would be a great plus. A further programming Languages (e.g., SQL, Python, Java, C++) would be a plus. What makes us proud as an employer: The Biggest of Tech Portugal -Technology Production Category (Awarded by Exame Informática and Visão Magazines) Top Companies to work in Portugal (Awarded by LinkedIn) Healthy Workplaces Award - 3rd large corporations (Awarded by Portuguese Psychologists’ Association) Most ESG responsible company in Tech/Industrial Sector (Awarded by Merco Corporate Reputation Monitor) 2nd Best Engineering Company (Awarded by Teamlyzer, biggest portuguese tech community platform) We are thrilled to have: A hybrid working model with a flexible working hours policy in order to promote work life balance. A budget for setting up a home office, health insurance, possibility to have a sabbatical leave or non-paid time off and a financial support program for your studies. You also have a medical center on the premises, sports groups, 2 days volunteering, access to e-learning platforms (Learnlight, Linkedin Learning and more) and discounts with partners. To all these benefits we add the possibility to work in a fresh, relaxed, and always motivated environment #Siemens #LXTechHub #ITMakesUsMove Siemens is committed to creating a diverse environment and is glad to be an equal opportunity employer. We strongly encourage applications from a diverse talent pool! Organization: Siemens Financial Services Company: Siemens S.A. Experience Level: Experienced Professional Full / Part time: Full-time