Data Architect

Job Description Roles & Responsibilities 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. Desired Candidate Profile 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. Company Industry IT - Software Services Department / Functional Area IT Software Keywords Data Architect Get real-time job updates only on our App