Senior Manager Data Architecture (d/f/m) - #2085936
Henkel
Date: vor 17 Stunden
Stadt: Düsseldorf
Vertragstyp: Ganztags
Arbeitsplan: Volle Tag

What You´ll Do
- 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
- 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
- Flexible work scheme with flexible hours, hybrid and work from anywhere policies
- Diverse national and international growth opportunities
- Globally wellbeing standards with health and preventive care programs
- Gender-neutral parental leave for a minimum of 8 weeks
- Employee Share Plan with voluntary investment and Henkel matching shares
- Company Pension Plan 100% financed by Henkel
- MEGA Preventive Health Insurance
- CareFlex Supplementary Care Insurance x
- Mobility offer: My Henkel Bike and Jobticket
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