Data Architect

Datamatics Technologies; Pakistan; On-site; PKR 33,306,000 - 49,958,000; Full time

Job summary

Datamatics Technologies is seeking a Data & AI Architect to lead enterprise data architectures in a KSA onsite role. You will design data models, warehousing, MDM and build AI/ML systems in production, while managing cloud data platforms and modern data stacks.

You will oversee AI/ML lifecycle including model selection, MLOps, deployment, and monitoring, and architect GenAI/LLM solutions with RAG pipelines and vector databases. Strong collaboration with engineering and executives is required.

Qualifications

• 8+ years in data architecture with AI/ML in production.
• Strong SQL skills and Python or similar language.
• Hands-on experience with Azure/AWS/GCP and modern data stacks.
• Experience designing data governance and enterprise data models.
• Ability to translate business requirements into technical architecture.

Responsibilities

• Design enterprise data architectures including data modeling, warehousing, and MDM.
• Design AI/ML systems in production environments.
• Develop and manage cloud data platforms and data pipelines.
• Oversee AI/ML lifecycle: model selection, MLOps, deployment, monitoring.
• Architect LLM/GenAI solutions including RAG, vector DBs, prompts.
• Translate business requirements into technical architecture for engineering teams.
• Design APIs and system integrations across platforms.
• Ensure alignment with data governance and compliance frameworks.
• Support smart-city, government, and enterprise initiatives with multiple stakeholders.

Skills

Data Engineering

Data Architectures

AI Engineering

SQL

Python

Cloud Platforms

Tools

Kafka

TOGAF

Job description

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.

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.