Data product solution architect

Participate in Program Increment preparation by conducting feature intakes.

• Design and architect scalable, resilient data solutions incorporating data products and data integration components.
• Create detailed technical specifications, architecture diagrams and implementation roadmaps.
• Support product owners and scrum master with architectural guidance.
• Guide teams through technical challenges and architectural decisions.
• Evaluate and recommend appropriate technologies, platforms and tools.
• Guard data quality, security and compliance requirements.
• Optimize existing architectures for performance, cost and maintainability.
• Ensure alignment between solutions, data management and enterprise architecture standards.

Profile / Requirements : What profile are we looking for this position

Experience in solution architecture (or similar role) of data solutions.

• Experience designing and implementing enterprise-scale data solutions.
• Proven experience in delivering data solutions.
• Experience with agile methodologies and DevOps practices.
• Good knowledge of cloud data platforms and AWS.
• Experience with modern BI tools and visualization platforms.
• Proficiency in data modelling and database design.
• Knowledge of data integration patterns and ETL/ELT processes.
• Familiarity with data governance, data management processes and security frameworks.
• Strong communication and presentation skills.
• Strong analytical and problem-solving abilities
• Ability to manage competing priorities and deadlines.

Experience with, notions of or profound interest in (“nice to have”):

• Data Warehousing & Data lakes: Snowflake, Apache Iceberg or similar
• Real-time and batch processing
• BI Tools: Power BI, Qlik or similar
• AI/ML Frameworks: MLFlow, Sagemaker, … or similar
• GenAI architectures and components (e.g. Vector stores)
• Version Control Systems (Git)
• CI/CD pipelines
• Infrastructure as Code
• Data modeling tools
• Container orchestration (Kubernetes)