Job Summary
The Senior Data Architect is a senior-level position that requires solid professional experience in enterprise data architecture. The role is responsible for designing and governing enterprise data architecture, ensuring data consistency, integration, and accessibility across the organization, and contributing to Data Fabric initiatives and the development of the semantic layer.
Key Responsibilities
- Develop and standardize enterprise data models to support data integration and cataloging.
- Define and maintain cross-entity data lineage to ensure data traceability and transparency.
- Build and maintain a unified enterprise data dictionary to ensure a common business language.
- Design and contribute to enterprise data architecture, including Data Fabric and semantic layers.
- Collaborate with technical and business teams to align data architecture with organizational strategy.
Required Tools and Technologies
- TOGAF
- Erwin
- Unity Catalog (Databricks)
- Alation
- Microsoft Purview
- Informatica
- SQL
Qualifications
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field from an accredited university.
- A Master's degree is considered an added advantage.
Required Skills and Competencies
- Proficiency in English.
- Strong strategic and analytical thinking.
- Excellent presentation and communication skills.
- Ability to solve complex problems and work under pressure.
- Strong teamwork skills and willingness to learn.
- Professional certifications such as PMP, CDMP, Agile, or Scrum are considered an advantage.
- Experience or certifications in data and artificial intelligence are a plus
