We are looking for an experienced Enterprise Data Architect to support the design and development of cloud-native data platforms, with a strong focus on data architecture blueprints, data integration, and domain-based modeling.
This role involves close collaboration with data engineers, product owners, and architects to define and validate enterprise data models and enable modern data management approaches including Data Mesh and Data Vault.
The ideal candidate will demonstrate proven experience in similar projects or roles, with expertise spanning the following areas :
Core Experience
- Minimum 8 years of experience designing cross-domain Solutions and Architecture as an Enterprise, Data, or Solution Architect
- Minimum 8 years of experience with data integration, including bridging cloud and on-premise systems (internal and external)
- Experience working with SAP ecosystems, including S / 4HANA and SAP Datasphere
- Minimum 7 years establishing and implementing best practices, frameworks, methodologies, policies, and processes in data or solution architecture
Technical Skills
Solid experience with Domain-Driven Design (DDD)Strong background in data modeling (conceptual, logical, and physical models)Experience designing or implementing messaging systems and event-driven architecturesProficient in RESTful API design and data-intensive architecturesPractical knowledge of metadata management, data catalogs, and metadata harvesting toolsAdditional / Preferred Skills
3+ years developing or supporting data-focused products (product-oriented mindset is a plus)Some experience designing Master Data Management (MDM) solutionsExposure to Big Data and Data Lake implementationsFamiliarity with Data Mesh architectures and data product thinking (nice to have)Educational Background
A Master’s degree in Engineering, Computer Science, Mathematics, or PhysicsIf you're an experienced Data Architect ready to contribute to a data driven transformation in the energy sector, we want to hear from you.