Senior Data Architect
6 days ago
Job Summary:
We are seeking a highly skilled Senior Data Architect to join our team at SSC Egypt. As a key member of our data architecture team, you will be responsible for designing and implementing data models, architectures, and infrastructure to support business growth and innovation.
Key Responsibilities:
- Design and Implement Data Models: Develop conceptual, logical, and physical data models to support business requirements and ensure data consistency and integrity.
- Lead Data Architecture Initiatives: Collaborate with cross-functional teams to design and implement data architecture strategies, including data warehousing, data lakes, and big data analytics.
- Ensure Data Quality and Security: Identify and mitigate data quality and security risks, ensuring data accuracy, completeness, and compliance with regulatory requirements.
- Optimize Data Performance: Analyze and optimize data query performance, identifying areas for improvement and implementing best practices to ensure efficient data processing.
- Collaborate with Stakeholders: Communicate technical and non-technical stakeholders, providing data architecture guidance and support to ensure successful project delivery.
- Stay Up-to-Date with Industry Trends: Stay current with emerging technologies and industry trends, applying knowledge to drive innovation and improvement in data architecture and analytics.
Requirements:
- Proven experience in data architecture and design, with a strong understanding of data modeling and data warehousing concepts.
- Hands-on experience with data modeling tools, such as ERWIN, and data architecture frameworks, including Inmon and Kimball methodologies.
- Strong analytical and problem-solving skills, with the ability to communicate complex technical concepts to non-technical stakeholders.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
- Experience with data governance, data quality, and data security best practices.
Preferred Qualifications:
- Master's degree in Computer Science, Information Technology, or a related field.
- Professional certifications in data architecture, data warehousing, or big data analytics.
- Experience with cloud-based data platforms, such as AWS or Azure.
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