113 Data Architect jobs in the United Arab Emirates

Total of 15 years of experience in architecture design of systems and 10 years of experience in architecture design of Big Data Platforms with the following skills:

1. Proven experience in designing Big Data Platforms for both Infrastructure and Software Implementation.
2. Good understanding of architecture Design Stage .

Responsibilities include:

1. Preparing detailed deployment architecture documents of the Enterprise Big Data Platform (redesign of existing architecture).
2. Supporting CART review of the solution architecture of the Enterprise Big Data Platform.
3. Coordinating with Big Data Platform Technical specifications related to the Enterprise Big Data Platform infrastructure software stack, etc.

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.

• Designing Data Architecture: Plan and implement a robust, scalable data architecture that integrates data from various sources and supports diverse analytical needs, while optimizing 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.


• Optimizing Data Performance: Monitor and analyze data processing performance, identify bottlenecks, and implement optimizations to enhance efficiency and scalability.


• Documentation and Knowledge Sharing: Create and maintain comprehensive documentation of data architecture, models, and processing workflows.

• Extensive experience in data architecture design and implementation.


• 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 Apache Arrow, Apache Spark, Apache Iceberg, and Clickhouse) and cloud-based infrastructure on AWS.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent experience.


• Preferred certifications (optional):
  • AWS Cloud Data Engineer
  
  
  • AWS Machine Learning Ops Engineer
  
  
  
  

• Passion for building scalable, reliable, and secure systems in a fast-paced environment.


• Ability to translate complex technical concepts into clear, actionable insights for technical teams.


• Strong interpersonal skills with the ability to work effectively across cross-functional teams.


• Excellent problem-solving and analytical skills.

We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who's driven, collaborative, acts with ownership and delivers solid, scalable outcomes.

• Competitive salary package


• Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely


• The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence

As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance.

Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock.

Who We Are

At Kyndryl, we design, build, manage, and modernize mission-critical technology systems that the world depends on every day. We are committed to building a more equitable and inclusive world for our employees, customers, and communities.

The Role

Kyndryl is seeking an accomplished Senior Data Architect to design, build, and operate robust data ecosystems. This role involves shaping data architectures that enable scalable, secure, and innovative data solutions aligned with business strategies.

Key Responsibilities:

• Design and implement modern data architectures, including data foundations, data fabric, and AI integration.
• Develop comprehensive data models and schema designs for large-scale enterprise environments.
• Lead the design of ETL processes and DataOps workflows for efficient data integration and transformation.
• Establish data governance policies, metadata management, and data quality standards.
• Collaborate with cross-functional teams to translate requirements into scalable data solutions.
• Guide and mentor team members and other data architects.
• Evaluate and adopt technologies for cloud data platforms, data lakes, warehouses, and streaming ecosystems.
• Drive cost optimization and performance tuning.
• Ensure compliance with industry standards and regulations.
• Promote data security, access control, and data lineage best practices.
• Lead innovation in data architecture strategies to support AI/ML initiatives and agentic AI system integration.

Who You Are

Required Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related fields; Master's preferred.
• 10+ years of experience in large-scale data architectures.
• Expertise in data modeling, schema design, ETL, and DataOps.
• Knowledge of cloud data platforms (AWS, Azure, GCP), data lakes, data warehouses, streaming platforms, and metadata tools.
• Proficiency with AI platform integration and familiarity with agentic AI systems.
• Understanding of data governance, security, and compliance.
• Strong collaboration skills across technical and business teams.
• Experience in regulated industries like financial services is a plus.

Preferred Qualifications:

• Experience translating business needs into technical designs.
• Knowledge of DevOps and CI/CD practices for data workflows.
• Cloud platform hands-on experience.
• Excellent communication and stakeholder engagement skills.
• Certifications like CDMP or AWS Solutions Architect are advantageous.

This role offers an opportunity to shape the future of data ecosystems at Kyndryl, driving innovation and enabling data-driven decision-making at enterprise scale. We seek a strategic, technically skilled leader who thrives in designing foundational data capabilities for advanced AI and analytics initiatives.

Being You

We value diversity in all forms. Our inclusion networks and supportive culture enable everyone to bring their whole selves to work, fostering an equitable environment.

What You Can Expect

Work with Fortune 100 clients using state-of-the-art resources. We prioritize your well-being, offer diverse benefits, and support your growth through industry-leading training and certifications. Our community initiatives allow you to give back and make an impact beyond work. At Kyndryl, we invest in your success, so we can succeed together.

Direct message the job poster from Systems Limited

We are seeking an experienced Microsoft Fabric Data Architect with a strong background in the Consumer Packaged Goods (CPG) industry to design, build, and manage scalable data architectures leveraging Microsoft Fabric platform capabilities. You will work closely with data engineering, analytics, and BI teams, as well as business stakeholders, product owners, and other key stakeholders to implement robust data solutions that support business intelligence and advanced analytics initiatives tailored to the CPG domain.

Responsibilities:

• Design and develop scalable data architectures using Microsoft Fabric components.
• Define data modeling standards, including dimensional and normalized data models suitable for reporting and analytics in the CPG industry.
• Lead the ingestion, transformation, and integration of data from diverse sources into the Fabric environment.
• Collaborate with data engineers to build robust ETL/ELT pipelines using Synapse Pipelines or Azure Data Factory.
• Optimize data storage and query performance for large-scale analytics workloads.
• Implement data governance, security, and compliance best practices.
• Develop and maintain metadata, data dictionaries, and documentation to support data discovery and usability.
• Work closely with business stakeholders, product owners, and other relevant teams to understand data requirements and translate them into technical solutions specific to the CPG sector.
• Facilitate communication between technical teams and business units to ensure alignment of data initiatives with organizational goals.
• Monitor and troubleshoot data platform issues and provide ongoing enhancements.
• Stay updated with Microsoft Fabric platform updates and industry best practices.

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or related field.
• 5+ years of experience in data architect role, and overall experience of 12+ years.
• Hands-on experience with Microsoft Fabric platform (Azure Synapse Analytics, Azure Data Lake Storage, Power BI Fabric).
• Strong skills in data modeling, database design, and schema optimization.
• Proficient in SQL, Spark, Python, and Power BI/DAX.
• Experience with ETL/ELT tools such as Azure Data Factory or Synapse Pipelines.
• Solid understanding of cloud data platforms and big data concepts.
• Must have experience working in the Consumer Packaged Goods (CPG) industry with a deep understanding of its data and business challenges.
• Knowledge of data governance, security, and compliance frameworks.
• Excellent communication and collaboration skills, with proven experience working cross-functionally with business and product teams.

• Seniority level Executive

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at Systems Limited by 2x

Get notified about new Data Architect jobs in Dubai, United Arab Emirates.

Dubai, Dubai, United Arab Emirates 9 hours ago

Dubai, Dubai, United Arab Emirates 9 hours ago

Dubai, Dubai, United Arab Emirates 22 hours ago

We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

We are currently looking forData Architect forourUAE operations with the following Skill set and terms & conditions.

BI Architetcure data models and database architectures (in any industry std tool) exposure to in ETL/ELT data governance principles.

2 weeks (maximum 1 month)

Terms and conditions: Joining time frame: maximum 4 weeks

No

Fulltime

Job Title: Data Architect

Location: Dubai

Who Can Apply: Candidates currently in Dubai, with a minimum 8+ years of experience in data engineering and architecture.

Job Summary:

We are seeking an experienced Data Architect to design, develop, and optimize large-scale data architectures, ETL processes, and data integration solutions. The ideal candidate will have expertise in AWS cloud services, data engineering best practices, open-source tools, and data schema design. Key responsibilities include developing and maintaining data pipelines for structured and unstructured data, implementing ETL/ELT workflows for batch and real-time data processing, optimizing data processing workflows using distributed computing frameworks, ensuring data integrity and quality through data validation, cleaning, and transformation techniques, working with AWS Cloud Services including S3, Redshift, Glue, Lambda, DynamoDB, and Kinesis, leveraging open-source tools like Apache Spark, Airflow, Kafka, and Flink for data processing, managing and optimizing database performance for both SQL and NoSQL environments, collaborating with data scientists and analysts to enable AI/ML model deployment and data accessibility, supporting data migration initiatives from on-premise to cloud-based data platforms, ensuring compliance and security standards in handling sensitive and regulated data, and developing data models and schemas for efficient storage and retrieval.

Required Skills & Qualifications:

• At least 8+ years of experience in data engineering, data architecture, and cloud computing.
• Strong knowledge of AWS services, including Glue, Redshift, Athena, Lambda, and S3.
• Expertise in ETL tools, including Talend, Apache NiFi, Informatica, dbt, and AWS Glue.
• Proficiency in open-source tools such as Apache Spark, Hadoop, Airflow, Kafka, and Flink.
• Strong programming skills in Python, SQL, and Scala.
• Experience in data schema design, normalization, and performance optimization.
• Knowledge of real-time data streaming using Kafka, Kinesis, or Apache Flink.
• Experience in data warehouse and data lake solutions.
• Hands-on experience with DevOps and CI/CD pipelines for data engineering workflows.
• Understanding of AI and machine learning data pipelines.
• Strong analytical and problem-solving skills.

Preferred Qualifications:

• AWS Certified Data Analytics – Specialty or AWS Solutions Architect certification.
• Experience with Kubernetes, Docker, and serverless data processing.
• Exposure to MLOps and data engineering practices for AI/ML solutions.
• Experience with distributed computing and big data frameworks.

Why This Role?

This is an exciting opportunity to work with our team to drive innovation and growth in data engineering and architecture. If you are passionate about designing and delivering large-scale data architectures and solutions, we encourage you to apply.

Get AI-powered advice on this job and more exclusive features.

We are looking for a Data Architect to define and implement enterprise data architecture, ensuring that data is treated as a strategic asset across Landmark Group. The role will focus on building scalable, secure, and future-ready data platforms that enable advanced analytics, AI/ML, and business insights to support Landmark’s retail and digital transformation journey.

Key Responsibilities

• Define and own the enterprise data architecture strategy, frameworks, and governance models.
• Design and implement data platforms, data lakes, warehouses, and pipelines across cloud and on-premise environments.
• Partner with product, digital, and business teams to translate requirements into scalable data models and solutions.
• Establish data standards, metadata management, data quality, and security practices.
• Drive adoption of modern data architecture practices (data mesh, data fabric, streaming, real-time processing).
• Evaluate, recommend, and govern data technologies (Azure Data Platform, Snowflake, Databricks, Kafka, Informatica, etc.).
• Collaborate with integration, application, and analytics teams to ensure consistent and accurate data flow.
• Define KPIs for data availability, quality, performance, and compliance.
• Expertise in data modeling, data warehousing, ETL/ELT pipelines, and big data technologies.
• Strong understanding of cloud-native data platforms (Azure, AWS, GCP).
• Strategic mindset with ability to align data strategy to business priorities.
• Analytical problem-solving approach with focus on data-driven decision making.
• Strong collaboration and stakeholder management skills across technology and business.
• Knowledge of data security, governance, and regulatory compliance (GDPR, CCPA, etc.).
• Excellent communication skills to articulate data concepts to technical and non-technical audiences.

Target Background

• Bachelor’s/Master’s degree in Computer Science, Information Technology, Data Science, or related field.
• 8–12 years of IT experience with at least 4–6 years in data architecture roles.
• Hands-on experience with data lakes, data warehouses, and big data ecosystems (Hadoop, Spark, Databricks).
• Strong expertise in SQL, data modeling, and ETL/ELT pipelines.
• Proven experience with cloud data platforms (Azure Synapse, Snowflake, AWS Redshift, GCP BigQuery).
• Experience in large-scale retail, e-commerce, or B2C environments (preferred).
• Certifications in cloud data platforms or data architecture (preferred).

About Us-

Landmark Group

Our journey started in 1973 with a single store in Bahrain. Since then, we have grown into a global retail and hospitality group. The proud creator of 25 plus value led, own-built brands across retail, hospitality, food, and leisure.

Over the years, our UAE - based group has evolved into a comprehensive retail and hospitality entity, with over 2200 retail stores, leisure, and hospitality outlets, panning the GCC, Middle East, India, Southeast Asia, and Africa. Today, Landmark Group is one of GCC's largest omnichannel retailers and India's top home and fashion retailer.

We take immense pride in the organic growth of our retail brands, which have blossomed into household names. From Max, Splash, Babyshop, Centrepoint, Shoemart, Home Centre, Emax, Fitness First, to Fun City, to name a few, our brands span across a multitude of categories, enriching the lives of countless families over the past decade.

As a part of the Landmark Group, a renowned retail and hospitality conglomerate in the Middle East, North Africa, and India, Landmark Digital is the dynamic digital arm of Landmark Retail, serving as the cornerstone of our omnichannel business strategy.

Headquartered in Dubai, UAE, we oversee the digital operations of eight leading brands across diverse geographies, with ambitious plans for expansion into new territories and functions. Joining us means becoming a vital part of the Middle East's most significant bricks-to-clicks success story, boasting an impressive year-on-year growth rate exceeding 100%.

Comprising a talented workforce of over 700 professionals across diverse domains, Landmark Digital spearheads various functions including Enterprise and E-commerce Tech, Product Management, User Design, and MarTech, among others. With our futuristic outlook, we are committed to delivering seamless digital experiences to our customers.

Landmark Digital

At Landmark Digital, we cultivate an agile work culture, empowering you to make impactful decisions from day one within collaborative squads comprising professionals from over 20 nationalities. Additionally, our dedicated software development center in Bangalore, India, offers opportunities for incubation, design, and optimization of digital products.

Working at Landmark Digital means engaging with cutting-edge technologies, including Enterprise and E-commerce tech, headless commerce, Java Spring Boot, React Native, React frontend, and Azure Cloud solutions, providing an enriching environment for professional growth and development.

In addition to competitive remuneration and benefits, we prioritize continuous learning and growth through dedicated training and upskilling initiatives. Furthermore, our vibrant workplace culture fosters camaraderie through various team events, celebrations, and recreational amenities, ensuring a fulfilling experience both personally and professionally.

Come be a part of Landmark Digital, where innovation, collaboration, and growth converge to redefine the digital retail landscape

• Seniority levelMid-Senior level

• Employment typeFull-time

• Job functionInformation Technology
• IndustriesRetail and Internet Marketplace Platforms

Referrals increase your chances of interviewing at Landmark Group by 2x

Dubai, Dubai, United Arab Emirates 20 hours ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

We are currently looking forData Architect forourUAE operations with the following Skill set and terms & conditions.

BI Architetcure data models and database architectures (in any industry std tool) exposure to in ETL/ELT data governance principles.

2 weeks (maximum 1 month)

Terms and conditions: Joining time frame: maximum 4 weeks

No

Fulltime