AI Data Architect

Teamware Solutions; Dubai; On-site; AED 300,000 - 520,000; Full time

Job summary

Teamware Solutions in Dubai is seeking an experienced Data Architect to design, govern, and optimize enterprise Data, Big Data, Analytics, and AI platforms.

You will design Data Lakes, Lakehouses, Data Warehouses, and Data Marts, establish standards and governance, and enable AI readiness with metadata, lineage, and MDM.

This role requires collaborating with cross‑functional teams to deliver scalable, reliable data solutions in a fast-paced environment.

Qualifications

• 10+ years of experience in Data Architecture or Enterprise Information Management.
• Proven track record designing enterprise on-prem data platforms.
• Experience with Data Lakes, Data Warehouses, and Lakehouse platforms.
• Experience with governance, data quality, and metadata management.
• Collaborates with Data Science and AI teams for AI readiness.

Responsibilities

• Design enterprise-scale data architectures across data platforms.
• Govern data governance, metadata, lineage, and quality controls.
• Define data models (conceptual, logical, physical) and standards.
• Lead integration, ingestion, and processing patterns for batch and streaming.
• Collaborate with AI/ML teams to enable AI workflows.

Skills

Data architecture

Big Data

Data governance

MDM

Data modeling

AI/ML readiness

Job description

We are seeking an experienced Data Architect to design, govern, and optimize enterprise Data,

Big Data, Analytics, and AI platforms.

Enterprise Data & Big Data Architecture

• Design enterprise-scale Data, Big Data, Analytics, and AI platforms.
• Architect Data Lakes, Lakehouses, Data Warehouses, Data Marts, and Big Data
• Design architectures supporting structured, semi-structured, and unstructured data.
• Establish data platform standards, reference architectures, and best practices.
• Design highly scalable batch, streaming, and real-time data processing ecosystems.
• Define enterprise patterns for data ingestion, integration, transformation, orchestration, and delivery.
• Responsible for creating conceptual, logical and physical data models.

AI-Ready Data Foundation and Data governance

• Design and govern data architectures that support AI, Machine Learning, Advanced Analytics, and Generative AI workloads.
• Ensure enterprise data is discoverable, trusted, governed, and consumable for AI initiatives.
• Design metadata, lineage, cataloging, and semantic layer capabilities required for AI Agents, and MLOps platforms.
• Define processes and controls to improve data quality and data reliability for AI model training and inference.
• Collaborate with Data Science and AI teams to ensure data platforms meet AI readiness requirements.
• Ownership of MDM and reference data, including golden records, master data domains and authoritative sources.
• Make SSOT a clear responsibility, especially identifying which systems should be treated as the trusted source for each data domain.
• Strengthen the role around data governance, including stewardship, ownership, classification, retention and policy enforcement.
• Add ownership of architecture standards, reference architectures, design reviews and

Required Experience

• 10+ years of experience in Data Architecture, Big Data Architecture, or Enterprise Information Management.
• Strong hands-on experience designing and implementing enterprise on-premises data platforms.
• Proven experience designing large-scale Data Warehouses, Data Lakes, and Lakehouse platforms.
• Experience designing Big Data environments handling high-volume and high-velocity
• Experience establishing enterprise data governance and data quality frameworks.
• Experience supporting AI, Machine Learning, and Advanced Analytics initiatives through
• Experience working with distributed processing and storage platforms.