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Lead Data Architect

Job in Abu Dhabi, UAE/Dubai
Listing for: Deeplight AI
Full Time position
Listed on 2026-09-24
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 380000 - 650000 AED Yearly AED 380000.00 650000.00 YEAR
Job Description & How to Apply Below

Deep Light AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. We combine deep quantitative expertise, cutting-edge cloud architecture, and modern MLOps to engineer secure, scalable, and resilient data foundations designed to power enterprise AI at scale.

With deep roots across the financial services and banking sectors in the UAE, we help major institutions bridge the gap between complex legacy systems and future-ready AI platforms. We don't build temporary fixes—we engineer bulletproof, banking-grade data platforms for high-stakes digital transformations.

The Opportunity...

We are seeking an exceptional Lead Data Architect to serve as a technical authority, team mentor, and trusted client principal across our fixed-scope enterprise projects in the UAE.

This is a high-visibility leadership role at the intersection of quantitative rigor, cloud data platform design, and strategic consulting. You will lead cross-functional squads of Data Engineers, Data Scientists, and MLOps Engineers, translating complex executive visions into elegant, production-ready Lakehouse architectures while navigating client organizations with high emotional intelligence (EQ), empathy, and poise.

What You’ll Do...
  • Design, validate, and govern enterprise Lakehouse architectures (Databricks, Delta Lake) and modern cloud data stacks (AWS, Azure) tailored for advanced analytics and production AI
  • Act as the primary technical advisor to client C-suite, CDO, and IT leadership. Translate complex client challenges into clear, fixed-scope architecture blueprints, SOW baselines, and delivery roadmaps
  • Direct and nurture a team of engineers and quantitative specialists. Build a culture of psychological safety, continuous learning, and technical excellence through hands-on coaching and active listening
  • Use high EQ to de-escalate project friction, align disparate business and IT agendas, and defend technical choices before architecture review boards (ARBs) and risk committees
  • Design zero-trust data security frameworks, fine-grained access controls, and audit trails compliant with regional Central Bank regulatory frameworks and data sovereignty laws

As an AI consultancy, our greatest asset is the expertise of our people.

While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.

We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.

You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders.

If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.

Requirements What We’re Looking For...
  • A Master’s or Bachelor’s degree in Mathematics, Theoretical Physics, Physics, Computer Science, or a related quantitative field
  • Significant demonstrable experience in enterprise data architecture, with substantial experience leading teams inside top-tier technology or management consultancies
  • Demonstrated ability to build authentic client trust, read organizational dynamics, resolve conflict constructively, and lead teams with empathy and clarity
  • Proven experience owning technical delivery on fixed-scope consultancy projects—managing milestone commitments, scope, and technical risk effectively
  • Deep mastery of Lakehouse patterns, distributed data processing (Spark, Kafka), cloud storage topologies, and feature engineering pipelines…
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