Level

DeepLight AI

Lead Data Architect

AI in this role

databricks
ml-ops

DeepLight 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 for AI.
  • While we welcome expertise across complex enterprise industries, a background in financial services, banking, or capital markets is highly advantageous.

What Gives You an Edge...

  • Hands-on experience designing concurrent multi-cloud architectures across AWS and Azure in regulated environments.
  • Practical knowledge of vector database topologies, LLM data flows, and MLOps platform orchestration.
  • Experience navigating enterprise procurement, client dynamics, and local regulatory frameworks across the UAE or broader GCC region.

Benefits

The benefits you'll enjoy as part of this role include:

  • Competitive salary
  • Comprehensive 'Gold Level' personal health insurance
  • Individual Visa Sponsorship
  • Professional development and certification support
  • Subscription reimbursement relating to your role
  • Opportunity to work on cutting-edge AI projects
  • Monthly Employee Incentive program
  • Career advancement opportunities in a rapidly growing AI company

This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.

At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.

Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.

If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.

How we rate this

Lead Data Architect at DeepLight AI rates 23 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

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Skills and AI tools this role asks for

ML OpsDatabricks

Questions you could be asked

  1. How do you monitor a model once it's live, and how do you know it needs retraining?
  2. Walk me through how you've used Databricks in your day-to-day work.

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  • List these exact terms on your resume: ML Ops and Databricks. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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