We are seeking a Data Governance & Enterprise Architect to strengthen the ICT Governance team of one of our clients in Nyon. This role plays a key part in ensuring that enterprise data is effectively governed, structured, integrated, and managed across multiple business and technology solutions while supporting the organization's digital transformation initiatives.
Job Responsibilities
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Define, review, and enhance conceptual, logical, and physical data models supporting business and technology solutions.
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Maintain and update enterprise data architecture artifacts, including data flows, lifecycle diagrams, interfaces, and business processes within the enterprise architecture repository.
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Ensure consistency and alignment of master data and reference data across applications and platforms.
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Contribute to the definition, implementation, and continuous improvement of data governance frameworks, policies, and standards.
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Partner with business stakeholders to document and maintain high-quality metadata and data catalog information.
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Work closely with solution architects to ensure data-related solutions comply with established architectural principles and best practices.
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Support the design of scalable and reliable data analytics and data science environments in collaboration with data specialists.
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Foster collaboration across architecture, analytics, privacy, and business teams to promote effective data management practices.
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Demonstrated experience in data governance, data management, and analytics initiatives.
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Strong hands-on expertise with relational and non-relational databases, as well as modern data warehouse or data lake platforms.
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Experience working with enterprise architecture solutions; familiarity with LeanIX is considered an advantage.
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Solid understanding of data modeling methodologies and information architecture principles.
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Proven ability to analyze complex business requirements and translate them into structured data solutions.
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Strong problem-solving capabilities combined with a service-oriented and collaborative mindset.
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Experience with data cataloging, metadata management, or governance platforms is highly desirable.
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Knowledge of business process analysis and process modeling techniques is an asset.
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