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Data Architect

Latinum HR Solutions

Abu Dhabi Emirate

On-site

AED 200,000 - 300,000

Full time

2 days ago
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Job summary

A leading company in the AI and Big Data sector seeks a Data Solutions Architect for their Abu Dhabi office. This pivotal role focuses on data strategy, architecture, and driving innovation in the fintech landscape. Candidates should have a strong technical background and proven experience in creating scalable data solutions. If you are passionate about data and AI, this is a unique opportunity to impact the company's growth and transformation.

Qualifications

  • Extensive experience in data architecture and delivering scalable data-intensive applications.
  • Strong understanding of cloud platforms and data technologies.
  • Proven track record in fintech is a strong advantage.

Responsibilities

  • Lead data architecture design, implementation, and optimization.
  • Coordinate to deliver consistent and scalable data products.
  • Promote best practices in data privacy and compliance.

Skills

Data Architecture
Cloud Platforms
Data Governance
API Development
MLOps

Education

Bachelor’s, Master’s, or PhD in Computer Science, Data Science, AI

Tools

AWS
Azure
GCP

Job description

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Division : AI and Big Data Center of Excellence

Latinum HR is partnering with a confidential client to hire a Data Solutions Architect to join their client's AI and Big Data Center of Excellence in Abu Dhabi. The center is a hub for cutting-edge innovation across Strategy, Governance, Data Science, AI Engineering, Data Architecture, and Visual Insights. This role offers a unique opportunity to be part of a transformative journey at the intersection of data, AI, and fintech across markets.

As a Data Solutions Architect , you will lead enterprise-wide data strategy and architecture initiatives, playing a critical role in scaling data-intensive applications and ensuring best practices across data ecosystems. This is a high-impact role that requires deep technical expertise, business acumen, and strong stakeholder engagement.

Key Responsibilities

  • Lead data architecture design, implementation, and optimization across the enterprise.
  • Coordinate across teams to deliver consistent and scalable data products.
  • Collaborate with stakeholders to translate business needs into technical data solutions.
  • Promote and implement data-as-a-product mindset across the organization.
  • Champion best practices in data privacy, governance, security, and compliance.
  • Partner with global teams, cybersecurity, and business leaders to ensure secure and meaningful use of data.
  • Enable data-driven decision-making through efficient API development, modeling, and harmonization.
  • Mentor and support engineering teams in resolving architectural and technical challenges.

What You Bring

  • Bachelor’s, Master’s, or PhD in Computer Science, Data Science, AI, or a related field.
  • Extensive experience in data architecture and delivering scalable data-intensive applications.
  • Strong understanding of cloud platforms (AWS, Azure, GCP) and cloud-native data technologies.
  • Proficient in relational, NoSQL, graph databases, vector stores, and data warehousing (Kimball, Inmon, Data Vault).
  • Hands-on experience with decentralized Data Mesh and MLOps is desirable.
  • Proven track record in the fintech sector is a strong advantage.

Expected Milestones

Month 1 :

  • Assess current data ecosystem and identify short-term improvements.
  • Build strong relationships with data governance, security, and engineering teams.

Month 3 :

  • Present a high-level 6–12 month roadmap.
  • Propose architectural solutions to support agile development and scalability.

Month 6 :

  • Refine and scale enterprise architecture based on feedback.
  • Drive strategic initiatives that align data architecture with business objectives.

What Sets You Apart

  • Exceptional problem-solving and architectural solutioning skills.
  • Ability to bridge technical and business stakeholders effectively.
  • Proven impact in the fintech sector and innovation-driven teams.
  • Passion for learning and growing in a fast-paced, collaborative environment.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Finance

IT Services and IT Consulting, Financial Services, and Data Infrastructure and Analytics

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