We are looking for a Data & Analytics Architect with strong experience in modern data platforms and applied AI. The ideal candidate combines deep expertise in data warehouse/lakehouse architectures, data engineering, and analytics with the ability to envision and articulate AI-enabled solutions for customer business challenges. This role operates at the intersection of data platforms, integrations, analytics, and AI—helping customers reimagine decision-making and operational workflows through GenAI, intelligent agents, ML-driven insights, and advanced analytics on unified data foundations. Unlike a pure data engineering role, this position is customer-facing and solution-oriented, requiring strong delivery skills, value-based storytelling, and the ability to design conceptual architectures that integrate AI/ML with enterprise data platforms, applications, and operational systems.
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
Responsibilities
- Lead customer workshops, demos, and RFP solutioning, translating business pain points into datalake solutions and AI-enabled use cases.
- Articulate the company's AI Data Platform, Analytics and AI solutions to business and IT stakeholders.
- Lead solutioning to deliver compelling demo assets.
- Design and propose modern data and analytics architectures—spanning data lakes, lakehouses, and enterprise applications—integrating the company's SaaS, on-prem, and third-party systems using contemporary integration patterns, while incorporating selective AI capabilities such as vector search, RAG, and intelligent automation where they add business value.
- Provide design decisions, estimates, and staffing/schedule inputs for customer pursuits.
- Contribute to best practices through blogs, whitepapers, and reusable delivery assets.
- Actively participate in the company's technology forums and represent the Data and Analytics portfolio in external events.
- Mentor junior solution engineers in delivery methodologies and demo storytelling.
Qualifications & Experience
- 8+ years of IT/solution architecture experience with at least 4 years in data integration, warehousing, and analytics.
- 3–5 years of solutioning exposure, with practical experience in demos, POCs, or customer workshops.
- Familiarity with the company's Cloud Infrastructure (OCI), Data Integration, and Analytics/Fusion Data Intelligence.
- Familiarity or experience with products like Databricks, Microsoft Fabric.
- Excellent written and verbal communication skills, with experience influencing both technical and business leaders.
