Negotiable
Undetermined
Undetermined
Belgium, Belgium
Summary: The Enterprise Data Architect role focuses on designing and developing cloud-native data platforms, emphasizing data architecture blueprints and integration. The position requires collaboration with data engineers and product owners to define enterprise data models and implement modern data management strategies. Candidates should have extensive experience in data architecture and integration, particularly within SAP ecosystems. The role is aimed at driving data-driven transformation in the energy sector.
Key Responsibilities:
- Design and develop cloud-native data platforms with a focus on data architecture blueprints and integration.
- Collaborate with data engineers, product owners, and architects to define and validate enterprise data models.
- Enable modern data management approaches including Data Mesh and Data Vault.
- Establish and implement best practices, frameworks, methodologies, policies, and processes in data architecture.
Key Skills:
- Minimum 8 years of experience as an Enterprise, Data, or Solution Architect.
- Experience with data integration between cloud and on-premise systems.
- Familiarity with SAP ecosystems, including S/4HANA and SAP Datasphere.
- Solid experience with Domain-Driven Design (DDD) and data modeling.
- Proficient in RESTful API design and data-intensive architectures.
- A Master’s degree in Engineering, Computer Science, Mathematics, or Physics.
Salary (Rate): undetermined
City: Belgium
Country: Belgium
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
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 architectures
- Proficient in RESTful API design and data-intensive architectures
- Practical knowledge of metadata management, data catalogs, and metadata harvesting tools
Additional/Preferred Skills
- 3+ years developing or supporting data-focused products (product-oriented mindset is a plus)
- Some experience designing Master Data Management (MDM) solutions
- Exposure to Big Data and Data Lake implementations
- Familiarity with Data Mesh architectures and data product thinking (nice to have)
Educational Background
- A Master’s degree in Engineering, Computer Science, Mathematics, or Physics
If you're an experienced Data Architect ready to contribute to a data driven transformation in the energy sector, we want to hear from you.