LEAD DATA & AI ARCHITECT

Duncan & Ross Consulting; Riyadh; On-site; SAR 450,000 - 650,000; Full time

Job summary

Duncan & Ross Consulting is seeking an experienced Lead Data & AI Architect to define enterprise data and AI architecture initiatives and translate business requirements into scalable, secure solutions.

Responsibilities include shaping architecture strategy, designing platforms across cloud and hybrid environments, and ensuring data governance, security, and compliance while guiding delivery teams.

Qualifications

• 10+ years of experience in Data Architecture, Enterprise Architecture, or Solution Architecture.

Responsibilities

• Define enterprise Data & AI architecture, strategy, standards, and roadmap.
• Design data and AI platforms across cloud and hybrid environments.
• Define data flows, integration, APIs, ETL/ELT, and real-time data architectures.
• Assess AI readiness and design architectures for AI/ML, GenAI, LLM, and RAG use cases.
• Develop target-state and solution architectures aligned with business objectives.
• Establish and enforce data governance, security, quality, metadata, and lineage standards.
• Evaluate data, AI, and cloud technologies and recommend suitable solutions.
• Lead architecture workshops and collaborate with business, technology, cloud, security, and data teams.
• Provide technical leadership and guidance to architecture and delivery teams.

Skills

Data Architecture

Enterprise Architecture

Solution Architecture

Cloud Platforms

AI Architecture

AI/ML Concepts

Data Governance

Stakeholder Management

Technical Leadership

Tools

Azure

AWS

GCP

Databricks

Snowflake

Microsoft Fabric

Job description

Job Overview

We are looking for an experienced Lead Data & AI Architect to define and lead enterprise data and AI architecture initiatives, translating business requirements into scalable and secure technical solutions.

Key Responsibilities

• Define enterprise Data & AI architecture, strategy, standards, and roadmap.
• Design data and AI platforms across cloud and hybrid environments.
• Define data flows, integration, APIs, ETL/ELT, and real-time data architectures.
• Assess AI readiness and design architectures for AI/ML, GenAI, LLM, and RAG use cases.
• Develop target-state and solution architectures aligned with business objectives.
• Establish and enforce data governance, security, quality, metadata, and lineage standards.
• Evaluate data, AI, and cloud technologies and recommend suitable solutions.
• Lead architecture workshops and collaborate with business, technology, cloud, security, and data teams.
• Provide technical leadership and guidance to architecture and delivery teams.

Requirements

• 10+ years of experience in Data Architecture, Enterprise Architecture, or Solution Architecture.
• Strong experience in enterprise data platforms, cloud, data integration, and AI architecture.
• Knowledge of Azure, AWS, GCP, Databricks, Snowflake, Microsoft Fabric, or similar technologies.
• Strong understanding of AI/ML, Generative AI, LLM, RAG, and MLOps concepts.
• Strong knowledge of data governance, security, quality, and compliance.
• Excellent business analysis, stakeholder management, communication, and technical leadership skills.

Vertical
Technology