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Chief Data Architecture Officer

2 maanden geleden

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Job Summary

The Chief Data Architecture Officer will lead the strategic direction, development, and management of Sonova's data platform, ensuring scalability, reliability, and security.

About the Role

This is a challenging opportunity for an experienced leader to oversee all Data & Analytics project integration activities, particularly within the Databricks/Azure space, from inception to implementation for Sonova Group and Business Units.

The ideal candidate will have 10+ years of experience in data management, data engineering, or related roles, with 5+ years of leadership experience in managing data teams and large-scale data platforms.

Key Responsibilities
  • Strategic Leadership:
    • 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 solutions.
  • 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.
Requirements

To succeed in this role, you will need:

  • Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Master's degree preferred.
  • Strong knowledge of data architecture, data warehousing, ETL processes, and data integration.
  • Proficiency in SQL, Python, and/or other programming languages relevant to data management.
  • Experience with cloud platforms (Databricks/Azure) and big data technologies (Hadoop, Spark).
  • Familiarity with data governance and data security best practices.
  • Azure experience with at least full cycle implementations.
  • Extensive experience in project and data management.
  • Excellent leadership and team management skills.
  • Ability to drive change and influence decision-making at all levels of the organization.
  • Excellent English skills (spoken and written).
What We Offer

We can offer you a new challenge, with interesting tasks and much more – including an open corporate culture, flat hierarchies, support for further training and development, opportunities to take on responsibility, attractive employment conditions, and flexible working time models in various roles.