description du poste

• Help design, build and continuously improve the clients online platform.
• Research, suggest and implement new technology solutions following best practices/standards.
• Take responsibility for the resiliency and availability of different products.
• Be a productive member of the team.

Requirements

• 2+ years of experience in data architecture or similar technical roles.
• 5+ years of experience in designing and implementing enterprise-scale data solutions.
• Design and architect scalable, resilient data solutions integrating AI/ML, BI, and data integration components.
• Develop detailed technical specifications, architecture diagrams, and implementation roadmaps.
• Evaluate and recommend technologies, platforms, and tools to optimize data solutions.
• Establish and enforce standards for data quality, security, and compliance.
• Lead proof-of-concept initiatives to explore new technologies and methodologies.
• Optimize existing data architectures for improved performance, cost efficiency, and maintainability.
• Develop reference architectures and design patterns for common enterprise use cases.
• Provide technical guidance and mentorship to teams navigating architectural challenges.
• Ensure solutions align with enterprise architecture standards and best practices.
• Expertise in agile methodologies and DevOps practices.
• Strong knowledge of cloud data platforms (AWS, Azure).
• Experience in AI/ML architectures and frameworks.
• Proficiency with modern BI tools and visualization platforms.
• Strong skills in data modeling and database design.
• Deep understanding of data integration patterns and ETL/ELT processes.
• Familiarity with data governance, security frameworks, and data management processes.
• Experience working with real-time and batch processing systems.
• Excellent communication, presentation, and technical documentation skills.
• Strong analytical and problem-solving abilities.
• Ability to manage competing priorities and deadlines.
• Experience with Data Warehousing & Data Lakes (Snowflake, Apache Iceberg).
• Hands-on expertise with BI tools (Power BI, Qlik).
• Knowledge of AI/ML frameworks (MLFlow, SageMaker).
• Understanding of GenAI architectures (e.g., Vector Stores).
• Proficiency in Git, CI/CD pipelines, and Infrastructure as Code.
• Experience with Data Modeling Tools and Container Orchestration (Kubernetes).
• Fluent in English (Dutch or French is a plus).