# AI Data Architect — Teamware Solutions

Canonical: https://jobxdubai.com/jobs/li-4467731364-ai-data-architect
Location: Dubai, UAE
Type: full_time · Level: senior
Monthly salary: AED 10,000 to 22,000 per month (estimated, not employer-stated) (UAE salaries are tax-free)
Posted: 2026-09-15
Apply: https://www.linkedin.com/jobs/view/ai-data-architect-at-teamware-solutions-4467731364?_l=en

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## Description

Data Architect - AI

Job Summary

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

environments.

• 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

adoption.

• Establish architecture standards supporting RAG, Knowledge Graphs, Vector Stores, 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

architecture decision records.

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

workloads.

• Experience establishing enterprise data governance and data quality frameworks.

• Experience supporting AI, Machine Learning, and Advanced Analytics initiatives through

enterprise data architecture.

• Experience working with distributed processing and storage platforms.

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## Requirements

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 workloads. Experience establishing enterprise data governance and data quality frameworks. Experience supporting AI, Machine Learning, and Advanced Analytics initiatives through enterprise data architecture. Experience working with distributed processing and storage platforms.

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