For a client in Gent, we are seeking a Senior Data Domain Architect with expertise in the Azure Analytics stack. This role involves leading the design, development, and governance of a robust and scalable data architecture for Service Market Logistics.

Key Responsibilities:

• Define and lead the organization's data architecture strategy, aligning with business objectives and goals.
• Design and implement scalable, secure, and high-performing data architecture frameworks.
• Implement governance processes to ensure data quality, consistency, and compliance with industry standards.
• Lead the design of physical data models, ensuring alignment with conceptual & logical models.
• Ensure seamless integration of data from multiple sources for real-time decision-making and analytics.
• Evaluate and implement new technologies to improve data capabilities for Service Market Logistics.
• Provide technical leadership and mentor data architects, engineers, and modelers.
• Lead cross-functional teams in defining data architecture standards and driving alignment across departments.

Qualifications and Experience:

• University degree or equivalent in a relevant field.
• Several years of experience as a data architect practitioner in Azure's full suite of services, including Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake, etc.
• Proven ability to define and design end-to-end scalable data solutions in line with enterprise architecture and industry standards.

Desired Skills:

• Strategic thinking with the ability to act tactically.
• Effective change management skills.
• Strong focus on soft skills, with an empathetic and enthusiastic approach.
• Excellent communication skills, capable of engaging with different hierarchies within the organization.
• Structured and fact-based working style.
• Proactive nature with strong connection-building skills in a large and complex landscape.
• Ability to simplify complex concepts for various stakeholder levels.

Language Proficiency:

Fluency in English is required.

This is a leadership role that requires a combination of technical expertise and soft skills to drive business transformation through data and support long-term growth and innovation.