8 Data Architect jobs in the United Arab Emirates

Education

• Master or Bachelor’s degree in computer science, information systems management or related field.
• Solution and Architecture certifications such as TOGAF or other.

• More than 5+ years of experience in information technology, with 2+ years spent in data architecture or technology solutions definitions and implementations.
• Extensive experience in banking and financial services domain

• Expertise in Data Architecture, Data Strategy and Roadmap for large and complex organization and systems and implemented large scale end-to-end Data Management & Analytics solutions
• Experience in transforming traditional Data Warehousing approaches to Big Data based approaches and proven track record of managing risks and data security
• Expertise with DW Dimensional modeling techniques, Star & Snowflake schemas, modeling slowly changing dimensions and role playing dimensions, dimensional hierarchies, and data classification
• Experiences in cloud native principals, designs and deployments.
• Extensive experience working with and enhancing Continuous Integration (CI) and Continuous Development (CD) environments
• Expertise in Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, and Data Archival
• Define workload migration strategies using appropriate tools
• Drive delivery in a matrixed environment working with various internal IT partners
• Demonstrated ability to work in a fast paced and changing environment with short deadlines, interruptions, and multiple tasks/projects occurring simultaneously
• Must be able to work independently and have skills in planning, strategy, estimation, scheduling
• Strong problem solving, influencing, communication, and presentation skills, self-starter
• Experience with data processing frameworks and platforms (Informatica, Hadoop, Presto, Tez, Hive, Spark etc.)
• Hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Python, GIT, Jenkins)
• Exposure to BI tools and reporting software (e.g. MS PowerBI and Tableau)

The IT company Andersen invites a Data Architect in Abu Dhabi to join its team for working with a company from the UAE.

The customer is a government entity that manages public affairs and oversees various corporate and philanthropic projects. The company is embarking on a transformative digital journey to enhance its operational efficiency and customer experiences.

The project focuses on digital transformation in the UAE to develop and support digital solutions, enhance social services, strengthen public engagement, advance international relations, and optimize administrative processes.

• Designing and evolving data architecture across ingestion, transformation, storage, and consumption layers.
• Defining data modeling strategies (conceptual, logical, physical) for structured and unstructured data.
• Architecting data lakes and lakehouses (Delta Lake, Iceberg, Hudi) with bronze-silver-gold layering.
• Leading implementation of ETL/ELT pipelines using Airflow, dbt, Talend, Informatica.
• Ensuring data governance, lineage, and metadata management using tools like Apache Atlas, DataHub, Collibra.
• Collaborating with AI/ML teams to prepare data for model training, including feature engineering and data tagging.
• Integrating streaming solutions (Kafka, Flink, Spark Streaming) for real-time data processing.
• Implementing security frameworks: RBAC, row-level security, encryption, GDPR/HIPAA compliance.
• Supporting BI and analytics platforms (Tableau, Oracle Analytics) with well-structured data models.
• Guiding CI/CD for data pipelines, containerization (Docker), and orchestration (Kubernetes).
• Documenting architectural decisions, integration diagrams, and security models.

• Experience in data architecture, data engineering, or solution architecture roles for 8+ years.
• Hands-on expertise with Oracle technologies.
• Strong understanding of data governance, security, and compliance.
• Experience with AI/ML data preparation and orchestration pipelines.
• Excellent communication and documentation skills.
• Bachelor's or Master's degree in Computer Science, Data Science, or related field.
• Level of English – from Upper-Intermediate and above.

• Experience with LLM integration and AI orchestration tools (e.g., Alteryx).
• Familiarity with mobile data consumption architecture.
• Certifications in cloud platforms (Azure, AWS, GCP).

• Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc.
• The opportunity to change the project and/or develop expertise in an interesting business domain.
• Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant.
• Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
• The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
• Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
• Referral program.
• Private health insurance and compensation for sports activities.

Thinking about your next career move? View Andersen’s vacancies and find yours today

About Us

AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking & financial services, healthcare, supply chain & logistics, consumer retail, manufacturing, eGovernance and other industry sectors.

We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you’re passionate about technology and thrive in a fast-paced environment, we want to hear from you.

We are seeking a highly experienced and strategic Senior Data Architect to lead the design and evolution of our enterprise data ecosystem. This critical role will be responsible for defining the architecture roadmap and making key decisions regarding the modernization of the data landscape, specifically managing the transition from legacy systems to a unified, high-performance platform centered around Data Warehouse, Data Lake, Data Security and Master Data Management (MDM) services. The ideal candidate possesses deep technical expertise, a strategic mindset, and a proven ability to govern complex data environments to enable advanced Enterprise Data Analytics.

• Strategic Architecture & Decision Making, Design & Strategy: Define the conceptual, logical, and physical data architecture blueprint, making critical decisions on technology selection, integration patterns, and data flow to align with business strategy.
• Modernization Roadmapping: Lead the planning and execution of the data migration strategy from existing legacy systems to new, standard enterprise platforms.
• Data Platform Management: Define the target state architecture for core data assets, including the optimal deployment, management, and interaction between the Data Warehouse and the Data Lake.
• Performance & Scalability: Ensure the data architecture is robust, highly available, and scalable to meet current and future demands of high-volume data ingestion and complex analytical queries.
• Data Governance & Master Data Management (MDM), MDM Implementation: Own the Master Data Management strategy and architecture, ensuring the accurate definition, governance, and synchronization of critical enterprise data (Customer, Product, Location, etc.) across all new systems.
• Data Security & Compliance: Architect and enforce security and access control policies (e.g., encryption, masking, role-based access) across all data layers, particularly for sensitive data originating from systems like EMR (HIPAA/PHI) and Cybersecurity.
• Data Quality & Lineage: Establish and enforce enterprise data quality standards, metadata management, and data lineage tracking to ensure data trust and regulatory compliance.
• Enterprise Data Analytics & Business Enablement, Analytics Blueprint: Design the data models (dimensional, normalized, Data Vault) within the Data Warehouse and Data Lake to optimize data access for advanced Enterprise Data Analytics, Business Intelligence (BI), and Machine Learning (ML) use cases.
• Integration: Define robust ETL/ELT strategies and pipelines to efficiently ingest, transform, and load data from diverse operational sources into the analytical platforms.
• Stakeholder Alignment: Collaborate with business leaders, data scientists, and analysts to translate complex business requirements into tangible, high-value data architecture solutions.

• 7+ years of progressive experience in Data Architecture, with at least 3 years in a senior, decision-making capacity for an enterprise-level data platform.
• Experience with Data Governance tools (e.g., Collibra, Informatica Axon) or Data Catalogs.
• Extensive experience with Data Warehouse management and design, including performance tuning and large-scale deployment.
• Mandatory experience designing and managing Data Lake services and architectures (e.g., using major cloud providers like AWS, Azure, OCI or GCP).
• Deep, hands-on expertise in Master Data Management (MDM) principles and technologies, including experience selecting and implementing an MDM solution.
• Proven track record of success in leading large-scale system migration or data integration projects, specifically moving from older, disparate systems to standard ERP/CRM/Clinical systems.
• Expert knowledge of data modeling techniques (Conceptual, Logical, Physical), SQL, NoSQL, and modern data streaming/processing frameworks.
• Strong understanding of security frameworks and regulatory compliance requirements relevant to data (e.g., HIPAA, GDPR, CCPA).
• Excellent communication, negotiation, and presentation skills, with the ability to articulate complex architectural concepts to both technical teams and C-level stakeholders.
• Direct experience integrating data from Oracle Fusion, MS Dynamics, and Clinical systems.
• Experience working in healthcare IT industry.
• Certifications such as TOGAF, CDMP, or specialized cloud data certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer)

• Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.
• Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.
• Competitive compensation & benefits, ESOPs and international assignments.
• Supportive environment with healthy work-life balance and a focus on employee well-being.
• Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.

If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.

Job Type: Contract
Experience: Minimum 15+ years

Job Summary:

We are seeking a highly experienced Data Platform Architect to design and build scalable, high-performance data platforms. The ideal candidate should have a strong background in AWS and other Public cloud services, data engineering, AI platform development, data integrity, and schema design. The role demands expertise in ETL techniques, open-source tools, data migration, and enterprise data architecture.

Key Responsibilities:

• Architect and Design scalable and secure data platforms, ensuring high availability and performance.
• Develop and Optimize data pipelines and ETL processes using modern frameworks and methodologies.
• Implement AI & ML Platforms , ensuring seamless integration with enterprise data ecosystems.
• Ensure Data Integrity & Governance by enforcing best practices for security, compliance, and quality.
• Oversee Data Migration strategies and execution from legacy to modern cloud-based architectures.
• Leverage AWS Services , including but not limited to S3, Redshift, Glue, EMR, Athena, Lambda, DynamoDB, and Kinesis.
• Lead Open Source Adoption , integrating tools like Apache Spark, Airflow, Kafka, and Flink for data processing.
• Collaborate with Cross-Functional Teams including Data Engineers, Data Scientists, and DevOps to streamline data workflows.
• Monitor Performance & Scalability , proactively addressing bottlenecks in data processing and analytics.
• Establish Best Practices for data modeling, schema design, and data architecture across various domains.
• Mentor and Guide engineering teams to enhance data capabilities within the organization.

Required Skills & Qualifications:

• 15+ years of experience in data engineering, data architecture, and cloud-based platforms.
• Expertise in AWS Cloud Services and hands-on experience with data storage, compute, and analytics tools.
• Strong ETL and Data Processing Knowledge , including batch and real-time data streaming.

Tools: Apache NiFi, Talend, Informatica PowerCenter, AWS Glue, Microsoft SSIS, Matillion, Fivetran, Stitch, dbt (data build tool)

• Proficiency in Open-Source Tools like Apache Spark, Hadoop, Airflow, Kafka, Flink, and Presto.
• Deep Understanding of AI & ML Workflows and their integration with data platforms.
• Proven Experience in Data Migration Strategies from on-premises to cloud.
• Expertise in Data Schema Design, Modeling, and Optimization for relational and NoSQL databases.
• Solid Programming Skills in Python, SQL, and Spark.
• Strong Problem-Solving Abilities with an analytical and strategic mindset.
• Excellent Leadership and Communication Skills , capable of working with technical and business stakeholders.

Preferred Qualifications:

• AWS Certified Solutions Architect or AWS Certified Data Analytics Certification.
• Experience working in AI-driven data platforms or MLOps environments .
• Familiarity with Kubernetes, Docker , and CI/CD pipelines for data workflows.

Why Join Us?

• Work with cutting-edge technologies in data and AI.
• Influence key architectural decisions and drive innovation.
• Competitive compensation and benefits package.
• A collaborative and high-performing team environment.

If you are passionate about data platforms and have a strong technical foundation, we invite you to apply and be part of our growing team!

DataOne is looking for a Senior Data Center Architect with extensive experience in designing cutting-edge, large-scale data center facilities. In this role, you will be responsible for the strategic planning of data center spaces, ensuring they meet stringent operational, technical, and regulatory requirements while aligning with the company’s commitment to sustainability and AI-driven innovation. You will collaborate with cross-functional teams—including structural, mechanical, electrical, and project management—to develop architectural solutions that are visually compelling, operationally efficient, and future-ready.

• Develop comprehensive master plans, floor layouts, and site plans for high-tech data centers.
• Establish design concepts balancing aesthetic appeal with operational requirements such as heat management and airflow optimization.
• Ensure space allocations align with rack layouts, cable management strategies, and scalability needs.

Cross-Disciplinary Collaboration

• Work closely with structural, electrical, mechanical, and civil teams to integrate architectural elements seamlessly.
• Coordinate with BIM specialists, data center engineers, and external consultants to align project goals and technical specifications.
• Participate in design reviews and workshops, ensuring architectural plans support both operational and safety standards.

Compliance & Regulatory Adherence

• Ensure designs comply with local zoning laws, building codes, fire safety regulations, and environmental standards.
• Advocate for sustainable architectural solutions, incorporating certifications such as LEED or BREEAM when applicable.
• Manage documentation and approval processes with relevant authorities, securing permits and licenses in a timely manner.

Material & Finish Selection

• Specify materials, finishes, and architectural features that meet mission-critical criteria for durability, safety, and efficiency.
• Evaluate suppliers and products for their environmental impact, aligning choices with DataOne’s sustainability objectives.
• Implement best practices for thermal efficiency, soundproofing, and energy performance in data center environments.

Technical Optimization

• Collaborate with IT and engineering teams to optimize rack placement, accessibility, and cable routing within data halls.
• Develop architectural solutions accommodating high-density computing, AI-driven processes, and advanced cooling systems.
• Innovate space-planning concepts for power distribution and resilience requirements.

Quality Assurance & Documentation

• Review and approve architectural drawings, specifications, and construction documentation to ensure accuracy and project alignment.
• Oversee project milestones for architectural deliverables, providing quality checks and guidance to design and construction teams.
• Maintain up-to-date records of design changes, following strict version control and documentation protocols.
• Mentor junior architects, design technicians, and interns on technical and professional development.
• Contribute to project scheduling, resource allocation, and budgeting for architectural scopes.
• Champion a culture of innovation and continuous improvement in architectural methodologies and sustainability practices.

• Education : Bachelor’s or Master’s degree in Architecture or a related field.
• Experience : 8+ years in architectural design, with significant exposure to data centers or mission-critical facilities. Background in sustainable design principles is highly desirable.
• Technical Skills : Proficiency in AutoCAD and Revit (BIM). Familiarity with 3D modeling tools like SketchUp or Rhino . Ability to use Adobe Creative Suite for high-quality presentations is a plus.
• Soft Skills : Excellent leadership, communication, and problem-solving abilities. Comfortable collaborating in a fast-paced, global environment.
• Certifications : Licensed Architect or equivalent qualification. LEED AP , BREEAM Assessor , or other sustainability certifications are advantageous.

• Innovative Projects : Work on state-of-the-art, AI-enabled data center designs that push the boundaries of architectural and technological possibilities.
• Global Impact : Contribute to sustainable solutions that revolutionize data infrastructure worldwide.
• Collaborative Culture : Join an international team of experts in engineering, sustainability, and construction.
• Growth Opportunities : Access continuous professional development, leadership training, and upward mobility within a rapidly expanding organization.
• Sustainability Focus : Be part of a company dedicated to minimizing environmental impact through cutting-edge architectural and engineering practices.

If you’re a forward-thinking architect passionate about designing innovative, high-performance data centers, we want to hear from you. Apply now and help shape the blueprint of tomorrow’s sustainable digital infrastructure.

Dubai, France, United Kingdom

Permanent

ASAP

Apply now

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Overview

Мы ищем опытного Data Engineer / Python Developer с сильными навыками работы с Python и облачными платформами данных для трансформации, управления и оптимизации финансовых данных.

• Проектирование, разработка и поддержка ETL/ELT-процессов для финансовых и торговых данных.
• Работа с ClickHouse, Snowflake, Postgres, Kafka для эффективного хранения, обработки и управления данными.
• Взаимодействие с аналитиками, риск-менеджерами и трейдерами для предоставления чистых, структурированных наборов данных.
• Разработка и поддержка дашбордов, API и автоматизированных отчетов.
• Внедрение лучших практик в области качества данных, их управления и отслеживания.
• Оптимизация производительности баз данных, мониторинг конвейеров данных и поддержка в продакшене.