Position: Data & AI Architect
Location: KSA (Onsite)
Duration: 1 Year
Preferred Languages: English; Arabic is a plus
- 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.
- 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.
- 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 SkillsDomain & Compliance
- Direct experience with PDPL, NCA ECC, or NDMO frameworks, or similar.
- GDPR/HIPAA experience.
- 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).
- Experience in government, smart city, or public-sector platforms.
- Vendor/multi-stakeholder environment experience (JV, consortium, or large enterprise with multiple business units).
- English (Preferred).
- Arabic language skills are a plus.
Skills Required
- 8+ years of experience in data architecture
- 2–3+ years designing AI/ML systems in production
- Hands-on experience with Azure, AWS, or GCP cloud data platforms
- Experience with data lakes, lakehouse architectures, and ETL/ELT pipelines
- Experience designing enterprise data architectures, including data modeling, data warehousing, and master data management
- Understanding of the AI/ML lifecycle, including model selection, MLOps, deployment, and monitoring
- Experience with LLM/GenAI architecture, RAG pipelines, vector databases, prompt engineering, and model orchestration
- Experience with data governance and compliance frameworks
- Ability to translate business requirements into technical architecture
- Ability to communicate with engineering teams and executive stakeholders
- Experience with API design and system integration
- Strong SQL skills
- At least one programming language, preferably Python
- Experience with PDPL, NCA ECC, NDMO, GDPR, or HIPAA
- Experience with advanced AI architectures
- Familiarity with Kafka and real-time or event-driven data architectures
- Experience with IoT data ingestion
- TOGAF or cloud architect certification
- Government, smart-city, or public-sector platform experience
- Vendor or multi-stakeholder environment experience
- Arabic language skills
Datamatics Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Datamatics Technologies and has not been reviewed or approved by Datamatics Technologies.
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Flexible Benefits — Feedback suggests flexible timings and work-from-home options are available in some roles. This flexibility is highlighted as part of the employment experience across certain postings and materials.
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Wellbeing & Lifestyle Benefits — Feedback suggests flexibility around time off and remote work supports work-life balance. These elements can help offset leaner cash components for some individuals.
Datamatics Technologies Insights
What We Do
Datamatics Technologies (DMT) was established in Dubai. We specialize in providing onsite and offshore professional services, covering the full spectrum of Data Analytics and Data Science domains. Our experience of working with diverse industry sectors such as Telecoms, Finance, Government and Manufacturing, across multiple regions enables us to engage and deliver for our clients with confidence. We can offer our full portfolio of services through resource augmentation, managed services, both on T&M or fixed price financial arrangements. Through our end-to-end managed services offering we enable our clients to cut down costs, increase profitability and focus on value addition to their core business activities. Our project and delivery management team are certified in Agile, PMI and ITIL to ensure the planning and execution are carried out using industry best practices. We are working with our clients across Middle East and Africa Region.
