EngiFlex Brussels, Brussels Region, Belgium
Overview
Data Architect role at EngiFlex (Freelance possible). Brings enterprise architecture focus to align business strategy with technology infrastructure, ensuring IT systems, processes and data support organizational goals.
Responsibilities
* Participate in strategic discussions at the company level and maintain awareness of business unit functions and processes.
* Impact estimation of strategic decisions on the organization, processes and technology.
* Define and maintain enterprise architecture principles, standards, and roadmaps; ensure alignment with business objectives and regulatory requirements.
* Design and maintain the overall application landscape; map applications to business functionalities.
* Design an integration framework to enable data flow between applications.
* Design scalable, secure, and cost-effective solutions in collaboration with business and IT stakeholders; oversee system integration across units and platforms.
* Evaluate emerging technologies and recommend adoption strategies.
* Define and maintain enterprise data architecture roadmap; establish data standards, principles, best practices for modeling, integration, master data management and governance.
* Design data integration patterns (ETL/ELT, APIs, Service Bus, streaming) for on‑premises and cloud environments; enable interoperability between transactional, operational, and analytics systems.
* Manage lifecycle of applications, platforms and infrastructure; define modernization and cloud migration strategies.
* Translate business needs into architectural requirements and technical solutions; communicate decisions to non‑technical stakeholders.
* Identify architectural risks and propose mitigation; ensure data protection, cybersecurity, and compliance with standards.
Required Skills & Qualifications
* Education: Master’s in Computer Science, Information Systems, or related field.
* Experience: 10+ years in data architecture, data engineering, or enterprise architecture roles.
* Technical Expertise:
o Strong knowledge of relational and NoSQL databases, data modeling, and data integration.
o Experience with Azure and Microsoft data technologies (Azure Synapse, Data Lake Storage, Fabric).
o Experience with Azure integration technologies (Logic Apps, Azure Functions, etc.).
* Soft Skills:
o Excellent communication and stakeholder management.
o Strategic thinking with hands-on problem-solving ability.
o Ability to integrate into an organization and outline governance models.
Seniority level
* Not Applicable
Employment type
* Full-time
Job function
* Engineering and Information Technology
Industries
* IT Services and IT Consulting
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