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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director Data Platform & Cloud Architecture - **Company:** Sonova Group - **Location:** Berlin, Germany - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Big Data, Cloud Engineering, Databases, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integrity, Data Systems, DevOps, Machine Learning, Data Server Interface, Data Storage Technologies, Data Strategy, Data Lakes, Information Technology, Data Analytics, Data Management, Data Pipelines, Databricks - **Published:** September 30, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=7c1ccee1c19afb97 ## About the Role * Bachelor's degree in computer science, Information Technology, Data Science, or a related field. Master's degree preferred. * 10+ years of experience in data management, data engineering, or related roles. * 5+ years of leadership experience in managing data teams and large-scale data platforms. * Azure experience with at least full cycle implementations * Extensive experience in project and data management * Experience in mapping and building data system landscapes and data marketing processes. * Experience in managing data interfaces as part of a full data pipeline (from sourcing to deployment) ## Description Responsible for the overall management, development, and strategic direction of Sonova's data platform. This role will ensure the data platform is scalable, reliable, and secure, supporting the company's business objectives and enabling data-driven decision-making across the organization. Managing all associated Data & Analytics project integration activities (particularly in the Databricks/Azure space) from concept to delivery for Sonova Group and Business Units. Manage a team of data engineers, architects and devops., * Define and execute the strategic vision for the data platform, aligning with business goals and objectives. * Lead the design, implementation, and maintenance of scalable data architectures. * Develop and enforce data governance policies and procedures. Team Management: * Lead, mentor, and develop a high-performing team of data engineers, data architects, and devops. * Foster a collaborative and innovative team culture. Platform Management: * Oversee the design, development, and deployment of data pipelines and infrastructure. * Ensure data reliability, and security across all data assets. * Manage data storage solutions, including data lakes, integration to warehouse, and databases. Collaboration and Communication: * Work closely with cross-functional teams including IT, product development, and business units to integrate data solutions. * Communicate data strategies and insights to stakeholders at all levels of the organization. * Architect, extract and transform information from MS D365 systems and other ERP solution Innovation and Improvement: * Stay current with industry trends and emerging technologies in data management and analytics. * Identify opportunities for process improvements and implement best practices. * Drive innovation for the use of advanced analytics, AI, and machine learning. Other duties and responsibilities as assigned. * Work independently on national and international projects, responsible for analysis of complex business processes and translate to data sources. * Contribute to global Data Architecture decisions and work in consulting functions to the other BI and Data science units. * Requirements gathering from functional business owners, develop solutions and concepts, orchestrate the implementation with the team * Customer Care performing knowledge transfer to client employees from project idea to support post implementation. * Embed new solutions in existing data governance and authorization concept and ensure compliance with policies and standards ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Shifting Stress to Progress— Understanding DevOps to do DevOps Better](https://www.wearedevelopers.com/videos/268-shifting-stress-to-progress-understanding-devops-to-do-devops-better) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) ## Related Articles - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Best Companies to Work For in Berlin: Top 14 Companies in 2023 ](https://www.wearedevelopers.com/magazine/188-best-companies-to-work-for-in-berlin-top-14-companies-in-2023)