Datamatics Technologies

Data Architect

Chennai, Tamil Nadu, India - Full Time

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.

Apply: Data Architect
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