أبلاي إيدج ابدأ البحث عن عمل

Data Architect

Datamatics Technologies · Riyadh, Riyadh, Saudi Arabia

قدّم وتابع مع أبلاي إيدج
Position: Data & AI ArchitectLocation: KSA (Onsite)Duration: 1 YearPreferred Languages: English; Arabic is a plusResponsibilitiesDesign enterprise data architectures including data modeling, data warehousing, and master data managementDesign AI/ML systems in production environmentsDevelop and manage cloud data platforms (Azure/AWS/GCP) and modern data stack architectures including data lakes, lakehouse, ETL/ELT pipelinesDesign and oversee AI/ML lifecycle activities including model selection, MLOps, deployment, and monitoringArchitect LLM/GenAI solutions including RAG pipelines, vector databases, prompt engineering, and model orchestrationTranslate business requirements into technical architectureCommunicate effectively with engineering teams and executive stakeholdersDesign APIs and system integrations for interconnected platforms and systemsEnsure alignment with data governance and compliance frameworksSupport smart-city, government, and enterprise platform initiatives involving multiple stakeholders and integrated systemsMust Have SkillsExperience8+ years in data architecture, with 2–3+ years designing AI/ML systems in productionStrong 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, monitoringExperience with LLM/GenAI architecture (RAG pipelines, vector databases, prompt engineering, model orchestration)Experience with data governance and compliance frameworksAbility to translate business requirements into technical architecture and communicate with both engineering teams and executive stakeholdersExperience with API design and system integrationTechnical SkillsData Engineering and Data Architectures – Moderate to AdvancedAI Engineering – Basic to IntermediateStrong SQLAt least one programming language (Python most common)Good to Have SkillsDomain & ComplianceDirect experience with PDPL, NCA ECC, or NDMO frameworks, or similarGDPR/HIPAA experienceArchitecture & TechnologiesAI Advanced ArchitecturesFamiliarity 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 ExperienceExperience in government, smart city, or public-sector platformsVendor/multi-stakeholder environment experience (JV, consortium, or large enterprise with multiple business units)Language SkillsEnglish (Preferred)Arabic language skills are a plus