- 경험
- 어느
- 샐러리
- —
- 채용 공고
- 1
- 게시됨
- 2시간 전
- 작업 모드
- 사무실에서
- 교육
- Bachelor's in Computer Science or related field
- 재개하다
- 신청 시 필수 사항
당신이 일하게 될 곳
직무 설명
Position Overview and Contract Details
This contract-based role for a Data Architect is located onsite in Doha, Qatar, with an initial duration of six months and the possibility of extension. Candidates residing outside Qatar are encouraged to apply; visa and medical insurance will be arranged, though relocation costs are not covered.
Required Qualifications and Expertise
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
- Demonstrated experience in data architecture, data management, or data engineering.
- Proficient understanding of data modeling, database design, and data integration techniques.
- Hands-on experience with data warehousing, data lakes, and analytics platforms.
- Familiarity with cloud environments such as Azure, AWS, or GCP.
- Knowledge of data governance, quality assurance, security protocols, and compliance standards.
- Ability to engage effectively with both business and technical stakeholders.
- Strong analytical abilities, problem-solving skills, and clear communication capabilities.
- Competent in designing scalable and secure enterprise-level data solutions.
- Experience in supporting data migration, modernization, and digital transformation projects.
Primary Responsibilities
- Establish and uphold enterprise-wide data architecture, standards, and best practices.
- Design data models at conceptual, logical, and physical levels.
- Develop and maintain scalable architectures for data platforms, including warehouses, lakes, and analytics systems.
- Work collaboratively with business and technical teams to identify and fulfill data requirements.
- Implement frameworks ensuring data governance, quality, security, and regulatory compliance.
- Support cloud-based data initiatives and oversee integration across diverse systems and applications.
- Offer architectural expertise for projects involving data migration, modernization, and analytics enhancements.