Social network you want to login/join with:ResponsibilitiesHelp 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.Requirements2+ 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).A challenging, innovating environment.Opportunities for learning where needed.
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