Data Architect
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Key skills for this role
Key Skills for This Role
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Duration
- The stated role duration is one year.
Responsibilities
- Design enterprise data architectures, including data modeling, data warehousing, and master data management.
- Design AI/ML systems in production environments.
- Develop and manage Azure, AWS, or GCP cloud data platforms and modern data stack architectures.
- 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.
Experience
- 8+ years in data architecture, with 2–3+ years designing AI/ML systems in production.
- Strong hands-on experience with cloud data platforms and modern data stacks.
- Proven experience designing enterprise data architectures.
- Solid understanding of the AI/ML lifecycle.
- Experience with LLM/GenAI architecture.
- Experience with data governance and compliance frameworks.
- Ability to translate business requirements into technical architecture and communicate with technical and executive stakeholders.
- Experience with API design and system integration.
Technical Skills
- Data engineering and data architectures at moderate to advanced level.
- AI engineering at basic to intermediate level.
- Strong SQL.
- At least one programming language, with Python cited as the most common example.
Preferred Domain and Compliance
- Direct experience with PDPL, NCA ECC, NDMO, GDPR, HIPAA, or similar frameworks is advantageous.
- Experience in government, smart-city, or public-sector platforms is advantageous.
- Experience in vendor or multi-stakeholder environments is advantageous.
Preferred Architecture and Industry Experience
- Familiarity with real-time or streaming data architectures, including Kafka and event-driven systems, is advantageous.
- Experience with IoT data ingestion is advantageous.
- Enterprise architecture or cloud architect certifications are advantageous.
Language Skills
- English is preferred.
- Arabic language skills are a plus.
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