Data Architect

Duration:** 1 Year Preferred Languages: English; Arabic is a plus Responsibilities - Design enterprise data architectures including data modeling, data warehousing, and master data management. - Design AI/ML systems in production environments. - Develop and manage cloud data platforms (Azure/AWS/GCP) and modern data stack architectures including data lakes, lakehouse, ETL/ELT pipelines. - Design and oversee AI/ML lifecycle activities including model selection, MLOps, deployment, and monitoring. - Architect LLM/GenAI solutions including RAG pipelines, vector databases, prompt engineering, and model orchestration. - Translate business requirements into technical architecture. - Communicate effectively with engineering teams and executive stakeholders. - Design APIs and system integrations for interconnected platforms and systems. - Ensure alignment with data governance and compliance frameworks. - Support smart-city, government, and enterprise platform initiatives involving multiple stakeholders and integrated systems. Must Have Skills Experience - 8+ years in data architecture, with 2–3+ years designing AI/ML systems in production. - Strong hands-on experience with cloud data platforms (Azure/AWS/GCP) and modern data stack (data lakes, lakehouse, ETL/ELT pipelines). - Proven experience designing enterprise data architectures (data modeling, data warehousing, master data management). - Solid understanding of AI/ML lifecycle: model selection, MLOps, deployment, monitoring. - Experience with LLM/GenAI architecture (RAG pipelines, vector databases, prompt engineering, model orchestration). - Experience with data governance and compliance frameworks. - Ability to translate business requirements into technical architecture and communicate with both engineering teams and executive stakeholders. - Experience with API design and system integration. Technical Skills - Data Engineering and Data Architectures – Moderate to Advanced. - AI Engineering – Basic to Intermediate. - Strong SQL. - At least one programming language (Python most common). Good To Have Skills Domain & Compliance - Direct experience with PDPL, NCA ECC, or NDMO frameworks, or similar. - GDPR/HIPAA experience. Architecture & Technologies - AI Advanced Architectures. - Familiarity with real-time/streaming data architectures (Kafka, event-driven systems). - Experience with IoT data ingestion (parking sensors, city infrastructure, etc.). - Enterprise architecture certifications (TOGAF, cloud architect certifications). Industry Experience - Experience in government, smart city, or public-sector platforms. - Vendor/multi-stakeholder environment experience (JV, consortium, or large enterprise with multiple business units). Language Skills - English (Preferred). - Arabic language skills are a plus.

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