Job Informationen

Your tasks: Provide thought leadership in industry and to fellow members across business and technical project dimensions solving business requirements. Developing and implementing an overall data strategy that is in line with Organizational strategy and business process. Demonstrate knowledge of cloud-based data platform architecture and implementation features (SaaS, Data virtualization, Data Pipelines, Hybrid integrations) Collaborating with cross functional teams, business stake holders and vendors for the successful delivery of Central Data Platform. Drive scope definition, requirements analysis, functional and technical design, application build, product configuration, unit testing, and production deployment Identifying data sources, both internal and external, and working out a plan for data management that is aligned with organizational data strategy. Defining and managing the flow of data, pipelines, and dissemination of information within the organization Integrating technical functionality, ensuring data accessibility, accuracy, and security. Ensure delivered solutions are realized in time frame committed; work in conjunction with project sponsors to size and manage scope and risk Define Data Pipeline, Data Modeling and Data Consumption strategy along with Financial Risk & Compliance team to meet the Compliance reporting requirements. Skills Required: Design Technical Strategies and roadmaps for Data Integration (On-Premises + Cloud), Data Lakehouse, Analytics Reporting & Data Science. Knowledge and experience on Data Engineering tools like Databricks Proficiency in two or more programming languages Python, Java, JavaScript, XQuery, Scala Design data governance frameworks by outlining the aims and objectives for Data Security, Data Quality, Data Cataloging, Metadata Management, Master Data Management, etc. Lead proof of concepts and development of evaluation matrix through final recommendation, including hands-on execution where needed. Proficiency in data modeling and design, including SQL based development and database administration Working Experience in Columnar and/or NoSQL databases & Data Visualization tools Experience in MarkLogic, Azure Data Lake, Azure Data Factory and Power BI is an added advantage. Building highly dynamic data Model supporting financial Regulation changes from FINMA, SFDR, MiFID II etc. Basic Qualifications: Master’s Degree in Computer Science, system analysis or a related study 20+ Years of IT experience spanning in at least two Disciplines, including technical architecture, application development, middleware, database management or operations, data architecting, Cloud Solutioning Certifications in Cloud and NoSQL database technologies Experience in Cloud based data platform solution implementation. Azure/AWS Preferred Knowledge of business re-engineering principles and processes Experience working in Financial/Insurance domain preferred Exposure to multiple, diverse technologies and processing environments Strong understanding of data architecture and application development methodologies Exposure to agile methodology and process of Software Development Minimum proficiency in German language with certification (A2 Level)

Benötigte Skills

• Deutsch
• Azure
• Business Intelligence
• Compliance
• Security
• Testing
• CLOUD
• Python
• Scala
• JAVA
• JavaScript
• Middleware
• SQL
• NoSQL
• Banken / Finanzgesellschaften
• Master