Data Architect

**Position:** Data \& AI Architect **Location:** KSA (Onsite) **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. 7Bl8tWld6Y