WHAT MAKES YOU A GOOD FIT

• Master’s degree in Computer Science, Software Engineering, or a related field
• Minimum 10+ years experience in designing and delivering end-to-end data solutions, including data modeling, data integration, and provisioning for downstream consumers
• Proven experience in solution architecture for large-scale enterprise environments, with a focus on data mesh principles and modern data architecture best practices
• Expertise in data governance, security, and compliance, with the ability to establish frameworks that ensure trusted, secure, and well-managed data assets
• Proficiency in data engineering, ELT/ETL, and solution development using data & analytics platforms (Databricks, Power BI), programming languages like Python, SQL, and cloud-native frameworks (e.g. MS Azure)
• Strong leadership, advisory, and stakeholder management skills, with the ability to act as a trusted advisor, facilitate PoCs, and drive enterprise-wide data transformation initiatives
• Excellent English skills

• Act as a trusted advisor to Henkel Adhesives business and technical stakeholders, providing strategic guidance on data & analytics architecture, data products strategy and best practices for data-driven decision-making
• Design and implement scalable data mesh architecture, reusable data products, enabling decentralized data ownership and self-service data capabilities across the organization
• Solution architecture design of end-to-end data solutions, ensuring seamless integration, scalability, and high availability of data products across multiple business data domains
• Drive the development and execution of the Henkel Adhesives enterprise data strategy, ensuring alignment with business goals and enabling data interoperability across domains
• Oversee the development of reusable, high-quality data products and assets, ensuring they are discoverable, maintainable, and aligned with business needs
• Facilitate proof of concepts (PoCs) and rapid prototyping to validate solution designs, test new approaches, and accelerate delivery of data initiatives
• Collaborate with cross-functional teams, including business stakeholders, product owners, and data engineers, to ensure alignment on solution design, scalability, and quality
• Mentor and support technical product owners, data engineers, and analysts while fostering a culture of continuous improvement, knowledge sharing, and technical excellence