444 Data Architect jobs in the United Arab Emirates

Job Description: Data Architect

Design and implement scalable database solutions to store, retrieve, and manage organizational data efficiently.

Optimize and maintain existing database systems, ensuring high performance, reliability, and security.

Develop data pipelines and workflows to enable seamless integration from diverse data sources.

Create and enforce data architecture standards and best practices across the organization.

Provide technical leadership for adopting cloud-based data platforms (e.g. AWS, Azure, GCP).

Collaborate with cross-functional teams to align data architecture strategies with business goals.

Required Skills:

• Expertise in database management systems (e.g. MySQL, PostgreSQL, Oracle) and cloud platforms.
• Proficiency in data modeling, schema design, and ETL processes.
• Experience with big data tools like Hadoop, Spark, or Kafka.
• Strong programming skills in languages such as Python, Java, or Scala.
• Knowledge of data governance, security, and compliance frameworks (e.g. GDPR, HIPAA).
• Excellent analytical, problem-solving, and communication skills.

Client Introduction:

In this role, you will have the opportunity to work closely with one of our esteemed clients. This client is a global leader known for its commitment to quality and innovation. They have chosen Dautom as their trusted partner for their upcoming projects.

Data Architect/Modeler

• An experienced Data Architect/Modeler with a proven track record of designing robust enterprise data models for data platform projects. We are seeking a dynamic professional with over 10 years of hands-on experience. The ideal candidate should not only possess the technical expertise to manage project tasks and deliverables but also demonstrate strong collaboration skills and accountability for critical technical and architectural decisions.

Responsibilities:

• Collaborate and Innovate: Work closely with BI and DE teams to collaboratively gather requirements for database design and model, fostering an environment of innovation and shared insights.
• Design Leadership: Take charge of designing, implementing, and owning the Enterprise Canonical Data Model (CDM), ensuring its alignment with organizational goals and industry best practices.
• User-Centric Approach: Collaborate with non-technical business users to deeply understand and gather requirements for diverse business use cases, promoting a user-centric data modeling approach.
• Holistic Understanding: Develop a profound understanding of the data needs of the company, ensuring data solutions are aligned with overarching business objectives.
• Team Collaboration: Engage proactively with the development team, contributing to the design and construction of the database model, and actively participate in implementing database objects.
• Data Migration Expertise: Navigate the company's data migration needs by actively working with the development team to formulate and implement effective migration strategies.
• Metadata Mastery: Collaborate with data engineers to determine metadata querying requirements, leveraging your expertise in shaping efficient data architectures.
• Guidance and Best Practices: Provide valuable advice to data engineers on database performance tuning and best practices, contributing to the overall improvement of data management processes.
• Data Quality Management: Play a crucial role in determining and managing data cleansing requirements and Master Data Management (MDM), ensuring the integrity and quality of organizational data.

Skills and Qualifications:

• Technical Acumen: Proficient in relational and NoSQL databases, with a deep understanding of data architecture.
• Educational Background: Bachelor's degree in computer science, data science, information technology, or data modeling.
• Modeling Expertise: Knowledgeable in ER modeling, big data, enterprise data, and proficient in creating physical, logical, and conceptual data models.
• Tool Proficiency: Familiarity with data modeling software such as SAP PowerDesigner, Microsoft Visio, or erwin Data Modeler.
• Communication Skills: Excellent presentation, communication, and organizational skills.
• Attention to Detail: Strong attention to detail to ensure accuracy and precision in data models.
• Adaptability: Ability to thrive in a fast-paced environment, balancing independent work with effective collaboration within a team.

SAP Performance Tuning, Data Quality, Modeling Objects, Database Design, Data Modeling, NoSQL, Data Migration, Quality Management, Big Data, Data Management, Visio, Accountability, Data Science, Deliverables, Architecture, Databases, Information Technology, Construction, Computer Science, Software, Leadership, Design, Communication, Business Science, Management.

3 days ago Be among the first 25 applicants

Direct message the job poster from Latinum HR Solutions

Cybersecurity | Gaming | AI | Technology | Recruitment | Gear Measuring Systems | Entrepreneur

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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Architect • Abu Dhabi Emirate, United Arab Emirates

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Direct message the job poster from Boundless

Position Overview

The Data Architect is responsible for designing, implementing, and maintaining an organization's data architecture and strategy, ensuring that data is collected, stored, and processed efficiently and securely to support business intelligence, data analytics, and machine learning operations (MLOps) practices.

Key Responsibilities

• Designing Data Architecture : Plan and implement a robust, scalable data architecture that integrates data from various sources and supports diverse analytical needs, while optimising costs and meeting business requirements.
• Implementing Data Engineering Pipelines : Design and develop data pipelines for data extraction, transformation, and loading (ETL) processes, ensuring data quality and consistency.
• Enabling Data Intelligence and Analytics : Build and maintain data warehouses, data marts, and data lakes to support business intelligence and data analytics initiatives.
• Supporting MLOps Practices : Collaborate with data scientists and machine learning engineers to design and implement data infrastructure and processes that support machine learning model development, deployment, and maintenance.
• Ensuring Data Security and Compliance : Implement security measures, policies, and procedures to safeguard data privacy and comply with relevant regulations.
• Data Governance and Management : Establish and enforce data governance policies and standards to ensure data quality, integrity, and accessibility.
• Collaborating with Cross-Functional Teams : Work closely with data engineers, data scientists, business analysts, and other stakeholders to understand data requirements and translate them into technical solutions.
• Staying Abreast of Technological Advancements : Keep up-to-date with emerging technologies and trends in data architecture, data engineering, and MLOps to identify opportunities for improvement and innovation.
• Optimising Data Performance : Monitor and analyze data processing performance, identify bottlenecks, and implement optimisations to enhance efficiency and scalability.
• Documentation and Knowledge Sharing : Create and maintain comprehensive documentation of data architecture, models, and processing workflows.

Technical Requirements

• Extensive experience in data architecture design and implementation.
• Hands-on experience with Amazon Redshift for data warehousing, query optimization, and integration with AWS analytics services.
• Strong knowledge of data engineering principles and practices.
• Expertise in data warehousing, data modelling, and data integration.
• Experience in MLOps and machine learning pipelines.
• Proficiency in SQL and data manipulation languages.
• Experience with big data platforms (including PowerBI, DBT, Databricks, MySQL, Postgres, Clickhouse, Kafka, Redis etc) and cloud-based infrastructure on AWS.

Education & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• Preferred certifications (optional) :
• AWS Machine Learning Ops Engineer

Seniority level

Seniority level

Not Applicable

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

Software Development, Data Infrastructure and Analytics, and IT System Custom Software Development

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• Experience with developing and implementing a data security & compliance strategy.
• Experience with data governance, data quality management, and data privacy.
• Experience with data integration and data interoperability projects.
• Experience with Cloud MLOps solutions.
• Experience with AWS SageMaker & StepFunctions.

Data Modelling and Database Design:

• Lead the design and development of the AWS data and machine learning platform architecture, ensuring scalability, reliability, and security.
• Define best practices and standards for data and ML architecture on AWS.
• Architect data models and design databases to support efficient storage and retrieval of telecom-related data.
• Optimize data structures for both transactional and analytical workloads.
• Design scalable and cost-effective machine learning infrastructure on AWS, encompassing model training, deployment, and monitoring.
• Implement solutions for model versioning, A/B testing, and automated retraining.

Data Migration Program:

• Develop and execute a comprehensive program for migrating existing workloads to AWS.
• Collaborate with cross-functional teams to assess, plan, and execute migration strategies, minimizing downtime and ensuring data integrity.
• Familiarity with AWS EMR & RedShift
• Evaluate, recommend, and implement big data technologies on AWS for processing and analysing large datasets.
• Design solutions for real-time data processing and analytics.

Cost Optimization:

• Implement cost-effective solutions on AWS, optimizing resource utilization and ensuring efficient use of cloud resources.
• Monitor and analyze cost patterns, providing recommendations for optimization.
• Continuously optimize architecture based on performance metrics.

Data Security, Compliance & Access Management:

• Ensure that the data architecture complies with relevant data protection regulations (e.g., GDPR)
• Design data architecture with robust security mechanisms to protect sensitive and confidential data.
• Ensure encryption of data at rest and in transit.
• Implement data encryption methods across databases and data transfer channels to protect sensitive information.
• Implement role-based access controls (RBAC) to ensure that only authorized personnel have access to specific datasets.
• Establish and enforce strict data access controls and permissions to ensure authorized usage and prevent unauthorized access.

QUALIFICATIONS:

• Bachelors or masters degree in a related technical field (e.g., Computer Science, Data Science, Information Technology).
• Extensive experience as a data and machine learning architect with a focus on AWS.
• Strong expertise in database design, big data technologies, and machine learning frameworks.
• Proficiency in database management systems, ETL tools, and data warehousing solutions.
• Experience with data governance, data quality management, and data privacy.
• Proven experience in leading migration programs to AWS.
• AWS certifications in relevant areas (e.g., AWS Certified Solutions Architect, AWSCertified Machine Learning).

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Salt Abu Dhabi Emirate, United Arab Emirates

Data Architect

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About Us

My client is a leading IT consultancy firm that partners with clients to solve complex business challenges through technology. Their mission is to drive innovation and data-driven decision-making. Currently seeking an experienced Azure Data Architect to join our growing Data & AI practice and help design and implement scalable, secure, and high-performance data solutions on Microsoft Azure.

Key Responsibilities

• Design, develop, and implement end-to-end Azure data architectures for enterprise clients.
• Lead client engagements to understand business requirements and translate them into technical solutions.
• Define data governance, data quality, security, and compliance standards within Azure environments.
• Collaborate with data engineers, analysts, and cloud engineers to ensure solutions are aligned and scalable.
• Optimize data flows and pipelines for performance and cost efficiency.
• Stay updated with the latest Azure features and recommend improvements for client environments.
• Support proposal development, client presentations, and technical mentoring within the team.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• 8+ years of experience in data architecture, with 3+ years focused on Azure.
• Experience with modern data architecture patterns including data lakes, lakehouses, and medallion architecture.
• Solid understanding of ETL / ELT processes , data modeling, and performance tuning.
• Familiarity with infrastructure as code (e.g., ARM templates, Terraform, Bicep) and CI / CD in data engineering projects.
• Proficiency in SQL, Python, and / or Spark .
• Strong communication and stakeholder management skills.
• Azure certifications (e.g., Azure Data Engineer Associate , Azure Solutions Architect Expert ) are highly desirable.

Preferred Qualifications

• Experience working in consultancy or client-facing environments.
• Familiarity with industry verticals like finance, healthcare, or retail.
• Exposure to Power BI or other BI tools.
• Knowledge of data privacy regulations (GDPR, HIPAA, etc.)

Seniority level : Mid-Senior level

Employment type : Full-time

Job function : Information Technology

Industries : IT Services and IT Consulting

• Only successful candidates will be contacted

We are currently looking for Data Architect for our UAE operations with the following skill set and terms & conditions.

Experience Required :

BI architecture, data models, and database architectures (in any industry standard tool); exposure to ETL / ELT and data governance principles.

Joining Time Frame : 2 weeks (maximum 1 month)

Additional Information :

Remote Work : No

Employment Type : Full-time

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We are looking for an experienced Data Architect with a proven track record in designing and implementing modern, scalable data platforms across multiple technologies, such as Azure and AWS . The ideal candidate will have hands-on experience with Microsoft Fabric and other modern data architectures (e.g., Data Lakehouse, Delta Lake). As a Data Architect, you will be responsible for shaping data strategies, ensuring best practices in data engineering, and driving data solutions that support advanced analytics and executive decision-making.

Key Responsibilities :

• Design end-to-end modern data architectures leveraging technologies such as Microsoft Fabric, Azure Synapse, Databricks, and AWS data services .
• Develop robust data pipelines and frameworks to enable data ingestion, transformation, and consumption in a scalable and secure manner.
• Architect medallion-style data models (bronze, silver, gold layers) for structured and unstructured data to support analytics and AI use cases.
• Define and implement best practices for data modeling, data governance, and data security across the enterprise data platform.
• Evaluate and recommend the right technology stacks for modern data solutions (Lakehouse, Warehouse, Delta Lake, etc.).
• Work closely with business stakeholders, data engineers, BI developers, and AI specialists to ensure data solutions meet business requirements.
• Serve as a trusted advisor to project teams, providing strategic guidance and oversight for data architecture decisions.
• Provide mentorship and knowledge sharing within the team on best practices and new trends in data engineering and architecture.

Data Platform Enablement & Optimization :

• Drive the adoption and optimization of Data Platform and related data services, ensuring performance, reliability, and security standards are met.
• Identify data performance bottlenecks and implement scalability strategies for high-volume data scenarios.
• Support data integration initiatives, including API integrations, external data feeds, and hybrid environments.

Documentation & Standards :

• Develop and maintain comprehensive architecture documentation , including data flow diagrams, integration blueprints, and data governance policies.
• Establish and enforce data quality standards and data lineage frameworks to support enterprise data governance.

Key Skills and Qualifications :

• 7+ years of experience in data architecture, data engineering, or similar roles.
• Hands-on experience with MS Fabric (OneLake, Direct Lake, Data Factory), Azure Synapse, Databricks, and AWS data services (e.g., Redshift, Glue, S3).
• Strong knowledge of modern data platforms (Lakehouse, Medallion architecture, Delta Lake).
• Expertise in data modeling, data governance, and data security best practices .
• Familiarity with data pipeline orchestration tools (Azure Data Factory, Airflow, etc.) and real-time streaming frameworks (e.g., Kafka).
• Proven ability to work in multi-cloud environments (Azure, AWS) and to select appropriate tools based on business needs.
• Strong understanding of enterprise BI tools (e.g., Power BI, Tableau) and how they integrate with modern data platforms.
• Excellent communication skills and the ability to engage with both technical and business stakeholders .

Preferred Attributes :

• Certifications in Azure Data Engineer, AWS Data Analytics, or similar .
• Experience working on executive-level dashboards and AI-enhanced data solutions .
• Bachelors or Masters degree in Computer Science, Data Engineering, or a related field .

Remuneration :

Competitive benefits and growth opportunities in a rapidly evolving data environment.

How to Apply :

Interested candidates should send their CV and a brief cover note highlighting their Power BI experience and dashboard portfolio to (emailprotected) . We thank all applicants for their interest; only those selected for an interview will be contacted.

Architect • Abu Dhabi, United Arab Emirates

Direct message the job poster from RiDiK (a Subsidiary of CLPS. Nasdaq : CLPS)

Data Architect

5+ Years

• Deep hands-on expertise in data modeling (3NF, dimensional, data vault)
• Familiarity with data cataloging and governance tools (Azure Purview, Collibra)
• Proficiency in orchestration tools and schedulers (Airflow, Azure Data Factory pipelines)
• Understanding of streaming pipelines using Kafka, Event Hub, or Databricks Structured Streaming
• Knowledge of REST APIs, GraphQL, and data virtualization is a plus
• Exposure to MLOps, feature stores, and AI data lifecycle is an advantage

RiDiK is a global technology solutions provider and a subsidiary of CLPS Incorporation (NASDAQ : CLPS), delivering cutting-edge end-to-end services across banking, wealth management, and e-commerce. With deep expertise in AI, cloud, big data, and blockchain, we support clients across Asia, North America, and the Middle East in driving digital transformation and achieving sustainable growth. Operating from regional hubs in 10 countries and backed by a global delivery network, we combine local insight with technical excellence to deliver real, measurable impact. Join RiDiK and be part of an innovative, fast-growing team shaping the future of technology across industries.

Mid-Senior level

Contract

Information Technology and Consulting

IT Services and IT Consulting