This role involves designing and maintaining the enterprise architecture framework, guiding digital transformation, and overseeing enterprise data architecture to ensure data is treated as a strategic asset.
Enterprise strategy
Participate in strategic discussions on company level.
Have a clear overview of business units, their functions and processes.
Impact estimation of possible strategic decisions on the organisation, processes and technology
Architecture Strategy & Governance
Define and maintain enterprise architecture principles, standards, and roadmaps.
Ensure architectural alignment with business objectives and regulatory requirements.
Design and maintain the overall application landscape and the mapping of these applications with their business functionalities
Ensure there is a design of an integration framework through which data flows between these applications
Solution Design & Integration
Design scalable, secure, and cost-effective solutions in collaboration with business and IT stakeholders.
Oversee integration of systems across business units and platforms.
Evaluate emerging technologies and recommend adoption strategies.
Enterprise Data Architecture
Define and maintain the enterprise data architecture roadmap aligned with business and IT strategies.
Establish data standards, principles, and best practices for modeling, integration, mastar data management and governance.
Integration & Interoperability
Design data integration patterns (ETL/ELT, APIs, Service bus, streaming) for on-premises and cloud environments.
Enable interoperability between transactional- and operational systems but also analytics systems (data warehouse, data lake,...)
Lifecycle Management
Manage the lifecycle of applications, platforms, and infrastructure.
Define modernization and cloud migration strategies.
Stakeholder Engagement
Translate business needs into architectural requirements and technical solutions.
Communicate architectural decisions and their impact clearly to non-technical stakeholders.
Governance & Compliance
Identify architectural risks and propose mitigation strategies.
Ensure compliance with data protection, cybersecurity, and industry standards.
Required Skills & Qualifications
Education: Masters in Computer Science, Information Systems, or related field.
Experience: 10+ years in data architecture, data engineering, or enterprise architecture roles.
Technical Expertise:
Strong knowledge of relational and NoSQL databases, data modeling, and data integration.
Experience with Azure and Microsoft related data technologies (Azure synapse, data lake storage, Fabric)
Experience with integration technologies in Azure like Logic apps, Azure functions,...
Soft Skills:
Excellent communication and stakeholder management.
Strategic thinking with hands-on problem-solving ability.
Ability to integrate into an organisation and identify skills and characters in order to outline governance models.
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