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
Description
Talent 360 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 a Senior 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.