228 Data Architecture jobs in the United Arab Emirates

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BlackStone eIT is at the forefront of data-driven decision-making and innovation. We are currently looking for a talented and motivated Data Architect to join our dynamic team. As a Data Architect at BlackStone eIT, you will play a critical role in designing and implementing data solutions that support our strategic goals and enhance our clients' business processes.
Your responsibilities will include creating robust data architectures, ensuring data quality and integrity, and optimizing data flow across various systems. You will collaborate closely with stakeholders to understand their data needs and translate them into effective technical solutions. This position requires a mix of strong technical skills and the ability to communicate effectively with both technical and non-technical team members.
Key Responsibilities

• Design, develop, and manage scalable data architectures aligned with business goals
• Create and maintain data models, data flows, and integrated data solutions
• Collaborate with data engineers and data analysts to ensure seamless data integration and quality
• Implement data governance and best practices for data management
• Optimize database performance, ensuring efficient data storage and retrieval
• Stay current with emerging trends and technologies in data architecture
• Provide technical guidance and support to cross-functional teams
  

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
• 5+ years of experience in data architecture or a related role
• Strong knowledge of data modeling concepts, database design, and data management best practices
• Experience with SQL and NoSQL databases
• Familiarity with ETL/ELT processes and data integration tools
• Excellent problem-solving skills and attention to detail
• Effective communication and collaboration skills
• Ability to work in a fast-paced environment and manage multiple priorities
  

• Paid Time Off
• Performance Bonus
• Training & Development

• Seniority level Mid-Senior level

• Employment type Contract

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

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Unlock Your Career Potential as a Senior Data Architect Lead.

We seek an accomplished data professional to spearhead our enterprise-wide data architecture initiatives. Based in Dubai, you will collaborate with C-suite leaders and technical teams to design scalable, secure, and business-aligned data ecosystems across industries, including government, financial services, energy, and retail.

• Develop strategic direction for data architecture by defining enterprise and solution-level strategies.
• Design modern cloud-based data platforms using Azure, AWS, or GCP technologies.
• Promote data mesh and advanced architectural patterns to drive innovation.
• Foster collaboration between business and technology stakeholders to translate data needs into effective solutions.
• Support data governance, security, lineage, and catalog initiatives in partnership with Data Officers and CDOs.

• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field.
• 10+ years of experience in data architecture, engineering, or information management.
• Demonstrated expertise with ETL/ELT tools, big data, streaming technologies, and strong knowledge of data modeling, API management, security, privacy frameworks.

• Certifications in cloud architecture or data engineering.
• Experience working in the GCC region with clients in public sector banking or oil and gas.

The role of a Data Architecture Expert involves designing, implementing, and maintaining an organization's data architecture and strategy to support business intelligence, analytics, and machine learning operations. This position requires strong expertise in data engineering principles, data warehousing, and data integration.

The ideal candidate will have extensive experience in data architecture design and implementation, with strong knowledge of data engineering principles and practices. They should be proficient in SQL and data manipulation languages, with expertise in MLOps and machine learning pipelines.

• Key Responsibilities:
• Design a robust data architecture that integrates data from various sources and supports diverse analytical needs.
• Implement data engineering pipelines for ETL processes, ensuring data quality and consistency.
• Collaborate with data scientists and machine learning engineers to design data infrastructure and processes.
• Ensure data security and compliance by implementing security measures and policies.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Preferred certifications: AWS Cloud Data Engineer and AWS Machine Learning Ops Engineer.

• Strong interpersonal skills with the ability to work across cross-functional teams.
• Ability to translate technical concepts into actionable insights.
• Passion for building scalable systems.

We are seeking a skilled professional to fill the role of Senior Data Architect . The ideal candidate will have expertise in cloud-native solutions and be able to design, build and maintain scalable data pipelines and architectures. They should have deep knowledge of data engineering best practices and the ability to optimize data flows that power analytics and business insights.

1. Design, build and maintain ETL/ELT pipelines to ingest data from various sources into AWS and GCP data platforms.
2. Manage and monitor data storage solutions (Amazon S3, Redshift).
3. Implement data transformation workflows using services like AWS Glue, Lambda, EMR or Step Functions.
4. Ensure data quality, security and governance across all pipelines.
5. Collaborate with Data Analysts, DevOps, Engineering and Business stakeholders to understand data requirements.
6. Monitor pipeline performance and troubleshoot issues to maintain high data availability and reliability.

1. Bachelor's degree in Computer Science, Data Engineering or a related field.
2. 4+ years of experience in Data Engineering or related fields.
3. Data Storage: S3, Redshift.
4. Data Processing: Glue, EMR, Lambda, Step Functions.
5. Streaming: Kinesis, Kafka/MSK.
6. Proficiency in SQL and Python/Pyspark.
7. Experience with data modeling, schema design and query optimization.
8. Knowledge of data security, encryption, IAM and compliance standards.
9. Familiarity with CI/CD pipelines and Infrastructure as Code.

We are seeking a highly skilled Data Architecture Specialist to join our team. As a key member of our organization, you will be responsible for designing and implementing an enterprise-wide data architecture strategy that supports interoperability, AI / ML readiness, and regulatory compliance.

• Data Platform Leadership : Define and implement a data architecture strategy that enables seamless data integration, scalability, and cost-effectiveness.
• Data Lake Evolution : Lead the development of an AWS-based data lake architecture that supports structured, semi-structured, and unstructured data types, including FHIR-formatted JSON healthcare data.
• Cloud Data Optimization : Design and maintain scalable, secure, and cost-effective data lakes using Amazon S3, AWS Glue, Athena, Redshift, and Lake Formation.
• Data Storage Strategies : Optimize data storage and retrieval strategies for performance and cost-efficiency, including partitioning, file formats (e.g., Parquet, ORC), and compression techniques.
• : Collaborate with data science teams to implement embedding models, vectorization pipelines, and real-time inference architectures.
• Vector Infrastructure : Design and manage vector storage systems (e.g., S3-based, FAISS, Pinecone, or Amazon OpenSearch) to support semantic search, retrieval-augmented generation (RAG), and intelligent data access.
• Healthcare Data Architecture : Architect systems to ingest, process, and store FHIR-compliant JSON data from EHRs, APIs, and HL7 sources.
• Data Governance : Ensure conformance with healthcare interoperability standards and optimize for queryability and downstream analytics.
• Security and Compliance : Lead efforts to ensure data security at rest and in transit using AWS-native encryption, IAM, VPC controls, and bucket policies.
• Team Leadership : Build and lead a high-performing team of data architects and engineers.

• Bachelor's or Master's in Computer Science, Data Engineering, or related field.
• 8–12+ years of experience in data architecture with 3–5 years in a technical leadership role.
• Proven experience architecting AWS-based data lakes and analytics pipelines.
• Deep understanding of healthcare data standards (FHIR, HL7) and working with FHIR JSON objects in large-scale systems.
• Expertise with embedding and vectorization models, semantic search, and managing vector storage solutions.
• Hands-on experience with Amazon S3, Mountpoint for S3, and optimizing S3-based workloads for performance and cost.
• Strong background in data security, encryption, access control, and compliance frameworks (HIPAA, HITRUST).

• This is an independent contractor position.
• Full-time remote work arrangement available during standard US business hours.

• This job description is intended to describe the general requirements for the position.
• It is not a complete statement of duties, responsibilities, or requirements.

KEY ACCOUNTABILITIES:

• Data Architecture Design: Lead data architecture design to support real-time event streaming, data products, and different machine learning models solving optimisation, computer vision and LLM's problems. This involves creating blueprints for data management systems to integrate, centralize, protect, and maintain the data sources.
• System Development: Lead the design and support the implemention of large-scale data processing systems capable of handling the volume, velocity, and variety of data that needs to be analyzed and processed.
• Data Strategy: Contribute and support of EGA's data strategy, including the use of new technologies and practices, to improve the quality, reliability, and efficiency of data extraction and its use in machine learning and data product applications.
• Data Modelling & Management: Spearhead the creation and maintenance of conceptual, logical, and physical data models, supporting both operational and AI use cases. Oversee data integrity and quality assurance processes across upstream, midstream and downstream.
• Machine Learning Framework: Lead the design of the ML OPs framework and define Design workflows and processes that accelerate the development and deployment of machine learning models, ensuring that ML models are production-ready and scalable.
• Data Governance: Lead and contribute to define policies and procedures for data governance in collaboration with the data protection officer and other stakeholders, ensuring compliance with data privacy and protection laws. Lead efforts of data governance platform integration.
• Collaboration: Collaborate with IT teams, data engineers, and senior stakeholders to ensure that the data architecture supports and helps achieve strategic objectives. Lead in proposing, buy in and drive the end solution.
• Communicate effectively complex data concepts, solutions, proposals in simple language to non-technical team members and senior leaders (Senior Director,C level, Executive Committee).
• Mentorship and Leadership: Act as a mentor to data engineers (4-8), providing guidance and support in their professional development. Promote a culture of performance, collaboration, and continuous learning within the data team.
• Innovation and Continuous Improvement: Stay up-to-date with industry trends and new technologies. Continuously explore innovative solutions and enhancements to the existing data architecture to improve its scalability, reliability, and efficiency. Championing and driving initiatives like event sourcing, data contracts & schema registries, data lineage and automation downstream.
• Problem Solving: Drive solutions, anticipate and contribute to resolve technical issues before they become roadblocks, maintaining the continuity of data flow and ensuring the highest levels of data quality and integrity, I.e. alerting & monitoring strategy, change request frame work and automation, scaling up and data partitioning strategy
• Project Management: Coordinate and indirectly manage data-related projects use cases every 3 month waves), ensuring they are completed on time and within budget, meeting or exceeding stakeholder expectations.

AUTHORITY/ DECISION MAKING:

• Design authority on data architecture, governance and technology selection to support scale up ambitions of 50-60 usecases a year.
• Validate data security protocols and resource allocation decisions based on usecase requirements.
• Validation of technical design and solutions to support 10 digital capabilities based on industry4.0 principles

QUALIFICATIONS & SKILLS:

Domain Expertise

• Bachelor's degree required, MS or PhD preferred
• Bachelor's in Data Science, Computer Science, Engineering, Statistics and 10+ years of relevant experience.
• Minimum 10+ years of data architecture experience utilising strong leadership skills, including mentoring, communication, decision-making, and project management.
• Expert knowledge of the Big Data technology landscape beyond the buzzwords; Hands on experience with big data platforms and tools such as Python, Spark, NoSQL, Key Value stores
• Expert with batch and real-time processing frameworks (Apache Kafka, Apache Spark etc.)
• Expert design knowledge and hands on experienceof designing data pipelines and workflow management tools like Airflow, relevant  NiFi, or Luigi.
• Expertise  of machine learning platforms and tools like TensorFlow, PyTorch, or scikit-learn.
• Data frameworks suitable for LLM's
• Lead design and contribute to production Cloud / DevOps environments and Datalake, Data transformation, ETL/ELT jobs
• Experience of leveraging MS/Azure ecosystem to manage the development and maintenance of cloud platform operations
• A broad set of technical skills and knowledge across hardware, software, systems and solutions development
• A proven track record of using quantitative analysis to impact key business or product decisions
• Solid grasp of and experience with implementing and operating software development methodologies
• A solid grasp of common statistical applications and methods (A/B tests and multivariate experiments, probabilities, regression)
• Understanding of Agile Software Development Lifecycle and project planning/execution skills
• Outstanding communicating skills with stakeholders at all levels, managing stakeholders' expectations and facilitate discussions across high risk or complexity or under constrained timescales.
• Outstanding capability to establish enterprise-scale data integration procedures across the data development life cycle and ensure that teams adhere to these. Able to manage resources to ensure that data services work effectively at an enterprise level.
• Up to date with data innovation and expert in investigating emerging trends in data-related approaches, performing horizon-scanning for the organisation and introducing innovative ways of working.
• Expert in Data integration design and can establish standards and well informed on best practice across different industries. The candidate can distinguish how to keep those standards up to date and ensures adherence to them.
• Good understanding of concepts and principles of data modelling and can produce, maintain and update relevant data models for specific business needs. Also, shows good knowledge on how to reverse-engineer data models from a live system.
• Expert in Metadata management and understands how metadata repositories can support different areas of the business. Capable of promoting and communicating the value of metadata repositories and knows how to set up robust governance processes to keep repositories up to date.
• Expert in identifying and anticipating problems and know how to prevent them by linking how problems fit into the larger picture. Has the ability to identify and describe problems and help others to describe them and knows how to build problem-solving capabilities in others.
• Expert in setting up team-based data engineering standards for programming tools and techniques and can select appropriate development methods. Act as an advisor on the application of standards and methods and ensure compliance and takes technical responsibility for all stages and/or iterations in a software development project, providing method-specific technical advice and guidance to project stakeholders.
• Technical Expert in predicting and advising on data engineering future technology changes that present opportunities for a product or programme.
• Experienced with reviewing requirements, specifications and defining test conditions with good understanding on how to identify issues and risks associated with work while being able to analyse and report test activities and results.

Our organization is seeking a skilled Solution Architect to spearhead the development of business intelligence platforms. The ideal candidate will possess expertise in designing and implementing scalable, secure, and high-performance data architectures.

The successful architect will be responsible for:

The successful candidate will be responsible for leading the development of our data architecture strategy, ensuring alignment with business objectives and regulatory requirements.

• Strategic Data Platform Leadership: Develop an enterprise-wide data architecture strategy that supports interoperability, AI/ML readiness, and compliance with relevant regulations.
• Lead the evolution of our AWS-based data lake architecture, supporting structured, semi-structured, and unstructured data types, particularly FHIR-formatted JSON healthcare data.
• Cloud Data Lake & Storage Optimization: Design and maintain scalable, secure, and cost-effective data lakes using Amazon S3, AWS Glue, Athena, Redshift, and Lake Formation.
• Leverage Mountpoint for S3 to enable high-performance, POSIX-compliant access to S3 objects, including vectorized data files.
• Optimize data storage and retrieval strategies for performance and cost-efficiency, including partitioning, file formats (e.g., Parquet, ORC), and compression techniques.
• AI/ML Enablement and Vector Infrastructure: Collaborate with data science teams to implement embedding models, vectorization pipelines, and real-time inference architectures.
• Design and manage vector storage systems (e.g., S3-based, FAISS, Pinecone, or Amazon OpenSearch) to support semantic search, retrieval-augmented generation (RAG), and intelligent data access.
• Ensure vectorized data pipelines are aligned with model training, evaluation, and deployment strategies.
• Healthcare Data Architecture & Interoperability: Architect systems to ingest, process, and store FHIR-compliant JSON data from EHRs, APIs, and HL7 sources.
• Ensure conformance with healthcare interoperability standards and optimize for queryability and downstream analytics.
• Implement data normalization and enrichment pipelines for use in both clinical and operational contexts.
• Security, Compliance & Governance: Lead efforts to ensure data security at rest and in transit using AWS-native encryption, IAM, VPC controls, and bucket policies.
• Implement and manage data access controls, audit logging, and role-based security models across AWS environments.
• Oversee data governance including lineage, cataloging, and stewardship with tools such as AWS Glue Data Catalog, Lake Formation, or third-party platforms.
• Team Leadership & Cross-Functional Collaboration: Build and lead a high-performing team of data architects and engineers.
• Work closely with stakeholders from engineering, data science, product, and compliance teams to deliver data initiatives.

• Bachelor's or Master's in Computer Science, Data Engineering, or related field.
• 8–12+ years of experience in data architecture with 3–5 years in a technical leadership role.
• Proven experience architecting AWS-based data lakes and analytics pipelines.
• Deep understanding of healthcare data standards (FHIR, HL7) and working with FHIR JSON objects in large-scale systems.
• Expertise with embedding and vectorization models, semantic search, and managing vector storage solutions.
• Hands-on experience with Amazon S3, Mountpoint for S3, and optimizing S3-based workloads for performance and cost.
• Strong background in data security, encryption, access control, and compliance frameworks (HIPAA, HITRUST).

• This is an independent contractor position.
• Job Type: Full-time.
• Location: Remote.
• Hours: Available during standard US business hours (9am-5pm EST or 8:30am-4:30pm EST).

• Other duties not listed here may be assigned as necessary to ensure proper operations of the department.

This is a highly rewarding opportunity for an experienced data architecture professional to lead the development and implementation of cutting-edge data platforms.