Data Architect, Swiss Himmel

  • Secteur d'activité: Informatique / Technologies de l'information
  • Type d'contrat: Fixe
  • Taux d'occupation: Plein-temps (100%)
  • Catégorie d'emploi: Informatique / télécommunications
  • Sub-catégorie d'emploi: Développement logiciel / Architecture logiciel
  • Date de publication: 14-11-2022
  • Délai de candidature: 30-11-2022

Your Expertise & Dedication make the difference. At Swiss Himmel we drive growth for our clients’ businesses and accelerates digital transformation. For the same reason we are looking for a Data Architect to lead one of our flagship Data Engineering programs in Zurich.

  • This is an exciting opportunity for someone interested in working with big data, while being able to interact with various stakeholders to build an intelligent cloud-based data platform.
  • You'll be joining the organization as it's transforming its architecture, pushing forward with innovative solutions in various data digitalization technologies in cloud.
  • Work with the latest technologies and share your technical expertise in a collaborative, agile and forward-thinking team environment.


  • 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 preferr
  • Email:
  • Nom du contact: Alper Altintas
  • Postuler

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