AI & Data Fabric Lead
- Work arrangement
- On-site
- Occupation
- Data & Analytics
- Location
- Maadi, Al Qāhirah, EG
- Compensation
- Not disclosed
- Apply by
- April 14, 2027
About this role
One of our Clients is looking for a" Senior Data Fabric & AI Engineer"to join their growing team!
If you're passionate about artificial intelligence, modern data platforms, and building scalable data solutions, this is an excellent opportunity to advance your career in a dynamic and collaborative environment. As aSenior AI & Data Fabric Engineer, you will be responsible for designing, developing, and optimizing AI-powered data solutions and Data Fabric architectures. You will build and maintain scalable data pipelines, integrate AI and machine learning capabilities into enterprise data platforms, and collaborate with cross-functional teams to deliver secure, high-performing, and data-driven solutions that support business and analytics initiatives.
Requirements
- Lead technical discovery and data maturity assessments with enterprise customers across Saudi Arabia and Egypt
- Design and present data platform architectures using modern tools (Microsoft Fabric, Azure Data Services, OpenMetadata, SQLMesh)
- Create compelling business cases that connect data governance and AI capabilities to measurable business outcomes
- Develop technical proposals, solution architectures, and pricing models for data and AI engagements
- Deliver demonstrations of AI agent workflows, agentic automation, and conversational data access patterns
- Support Microsoft co-sell motions for Azure AI, Microsoft Fabric, and Copilot-related opportunities
- Collaborate with the Product Developer to align presales demonstrations with current product capabilities
- Contribute to thought leadership content: whitepapers, case studies, and technical blog posts
- Track competitive landscape across data governance and AI platforms (Informatica, Collibra, Databricks, Coalesce)
Job Qualifications:
- 3-5 years of experience in data engineering, data architecture, or AI/ML presales
- Understanding of modern data stack: data warehouses, data lakes, ETL/ELT pipelines, data governance
- Familier with data services (Azure Data Factory, Synapse, Microsoft Fabric, Purview or similar )
- Familiarity with AI/ML concepts and practical applications in enterprise settings
- Experience creating data architecture diagrams and technical documentation
- Excellent presentation and storytelling skills, capable of translating technical concepts for executive audiences
- English and Arabic fluency
Benefits
Company Industry: Information Technology Services
Location: Maadi - Cairo
Working Hours:9:00 AM to 5:00 PM.
Working Days:From Sun to Thu.
Benefits:Attractive salary - Social & Medical insurance - Friendly Environment - Learning & Development Opportunities - Other benefits