- Company Name
- NEBIRU
- Job Title
- Senior Enterprise Data Architect
- Job Description
-
**Job title**
Senior Enterprise Data Architect
**Role Summary**
Lead the design and evolution of scalable, enterprise‑wide data architectures that support long‑term strategy and advanced analytics, including data lakes, real‑time processing, and AI use cases. Build conceptual, logical, and physical data models; architect and optimize ETL/ELT pipelines; enforce data quality, governance, and regulatory compliance; and coach cross‑functional teams.
**Expectations**
- 10+ years of data architecture experience in complex, heterogeneous environments.
- Proven track record delivering large‑scale data models, database designs, and robust data pipelines.
- Deep knowledge of SQL, NoSQL (including graph), and modern data flow tools.
- Fluency in French and Dutch, strong English; comfortable translating business needs into technical solutions.
**Key Responsibilities**
- Design scalable enterprise data architectures aligned with business strategy.
- Define and implement conceptual, logical, and physical data models.
- Architect and optimize ETL/ELT and data flow pipelines using tools such as Apache NiFi.
- Enable data lakes, real‑time processing, and AI‑driven analytics pipelines.
- Ensure data quality, integrity, security, and regulatory compliance (e.g., GDPR).
- Establish data governance, lifecycle management, and documentation standards.
- Translate complex business requirements into robust technical solutions.
- Coach and guide colleagues; collaborate across multidisciplinary Agile teams.
**Required Skills**
- Extensive data architecture, modeling, and database design expertise.
- Proficient with SQL and NoSQL technologies (incl. graph databases).
- Hands‑on experience with Apache NiFi or comparable data flow tools.
- Strong grasp of data governance, CI/CD, and application lifecycle management.
- Exposure to AI-related data processing (NLP, NER, analytics pipelines).
- Solid experience in Agile environments (Scrum, Kanban).
- Multilingual: fluent French, Dutch, and English.
**Required Education & Certifications**
- Bachelor’s (or Master’s) degree in Computer Science, Data Engineering, or related field.
- Relevant certifications (e.g., AWS Certified Data Analytics, Microsoft Certified: Azure Data Engineer Associate, Informatica Certified Data Engineer, or equivalent).