Who you are
- Design and implement scalable and secure cloud-based data & analytics solutions
- Provide technical leadership and guidance to development teams throughout the project lifecycle
- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
- Develop data models, data transformation processes, and data integration strategies to ensure high-quality FAIR data products
- Evaluate and recommend tools and technologies for data management, analytics, visualization and AI/GenAI
- Ensure compliance with data governance policies and best practices for data security and privacy.
- Conduct performance tuning and optimization of data solutions to meet business requirements.
- Stay up-to-date with industry trends and emerging technologies in data analytics and architecture (e.g. Apache Iceberg)
- Experience of at least 3-5 years in data architecture, analytics, or related field.
- As a minimum Bachelor’s degree in computer science, information systems, data science, or a related discipline.
- Proven experience in designing and implementing scalable and secure data solutions in a cloud environment (e.g., AWS, Azure, Google Cloud).
- Familiarity with cloud data warehouses (Snowflake, Databricks…), data transformation and storage technologies (Spark, Apache Iceberg,…) and data visualization tools (e.g., Tableau, Power BI).
- Knowledge around machine learning, AI and GenAI technologies (incl. agentic AI)
- .Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- As a plus: experience in supply chain business domain (supply chain planning, supply chain analytics)