Senior AI & Data Architect - Scalable Cloud Data Systems

TEN-XER; Dubai; On-site; AED 350,000 - 600,000; Full time

Job summary

TEN-XER in Dubai, UAE is seeking a senior Data Architecture & AI Architect to design scalable data ecosystems and lead enterprise data initiatives. You will collaborate with stakeholders, mentor data engineers and data scientists, and drive governance, security, and cloud adoption across the organization.

The role requires 10+ years of experience in data architecture and AI, with hands-on skills in data modeling, cloud platforms, and data warehousing.

Qualifications

• 10+ years in data architecture and AI-related roles.
• Experience designing large-scale data systems and data ecosystems.
• Leadership in complex AI and data architecture projects.
• Excellent communication and leadership skills.

Responsibilities

• Design and implement scalable, reliable, and secure AI and data architectures for enterprise needs.
• Lead development of data models, standards, and processes.
• Translate business requirements into architecture solutions with stakeholders.
• Oversee integration of diverse data sources to support AI apps.
• Mentor data engineers, scientists, and team members.
• Evaluate tools and platforms to optimize AI and data capabilities.
• Ensure robustness, security, and efficiency of data processes and models.
• Collaborate cross-functionally to enable data-driven decision making.
• Stay updated on AI and data architecture developments and inform strategy.

Skills

Data architecture

AI/ML technologies

Data modeling

Python/Java

Cloud platforms

Data warehousing

Governance & security

Collaboration

Problem solving

Education

Bachelor’s or Master’s in CS/IT

10+ years data architecture/AI experience

CDMP or AWS Data Analytics certs a plus

Tools

Snowflake

Redshift

AWS / GCP / Azure

Job description

TEN-XER in Dubai, UAE is seeking a senior Data Architecture & AI Architect to design scalable data ecosystems and lead enterprise data initiatives. You will collaborate with stakeholders, mentor data engineers and data scientists, and drive governance, security, and cloud adoption across the organization.

The role requires 10+ years of experience in data architecture and AI, with hands-on skills in data modeling, cloud platforms, and data warehousing.