176 Data Architecture jobs in the United Arab Emirates

The successful Data Architecture Specialist will play a vital role in designing, implementing, and maintaining an organization's data architecture and strategy. This will involve ensuring that data is collected, stored, and processed efficiently and securely to support business intelligence, data analytics, and machine learning operations (MLOps) practices.

This position requires strong technical skills and knowledge of data engineering principles and practices. The ideal candidate will have experience in data warehousing, data modeling, and data integration, as well as expertise in MLOps and machine learning pipelines.

The Data Architecture Specialist will be responsible for:

• Designing robust, scalable data architectures that integrate data from various sources and support diverse analytical needs.
• Implementing data engineering pipelines for data extraction, transformation, and loading (ETL) processes.
• Enabling data intelligence and analytics by building and maintaining data warehouses, data marts, and data lakes.
• Supporting MLOps practices by collaborating with data scientists and machine learning engineers.

To be successful in this role, you will need:

• Extensive experience in data architecture design and implementation.
• Strong knowledge of data engineering principles and practices.
• Expertise in data warehousing, data modeling, and data integration.
• Experience in MLOps and machine learning pipelines.
• Proficiency in SQL and data manipulation languages.
• Experience with big data platforms and cloud-based infrastructure.

We offer a competitive salary package and flexible working hours, allowing you to manage your time effectively. You will also have the opportunity to work remotely and be part of a team that values collaboration and innovation.

We believe in building a positive and collaborative work environment where everyone feels valued and respected. We are committed to attracting talented individuals who share our passion for data architecture and MLOPs, and who are driven to deliver exceptional results.

We perform background checks on all potential employees as a standard part of our recruitment process. If you are a motivated and skilled professional looking for a new challenge, we encourage you to apply for this exciting opportunity.

As a seasoned IT professional, you will leverage your expertise to design and implement cutting-edge systems that drive business growth.

The ideal candidate will have a total of 15 years of experience in architecture design of systems and 10 years of experience in architecture design of Big Data Platforms. Key skills include:

1. Designing Big Data Platforms for both Infrastructure and Software Implementation.
2. Understanding the Design Stage of architecture.

Responsibilities:

1. Preparing detailed deployment architecture documents of the Enterprise Big Data Platform, including the 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.

This role requires strong leadership skills, excellent communication, and a deep understanding of enterprise-level architecture and system design.

In this role, you will work closely with cross-functional teams to deliver high-quality solutions that meet business objectives and drive innovation.

Designing Data Pipelines and Architectures

A seasoned professional in data management is sought to spearhead the design, development, and maintenance of cutting-edge data pipelines and architectures.

The ideal candidate will possess strong technical skills in Python, SQL, Apache Airflow, PostgreSQL/MySQL, and Git/GitHub/GitLab.

• Develop efficient data storage solutions and optimize performance
• Implement robust data quality and governance practices

The successful candidate will collaborate with data scientists and analysts, automate workflows, monitor data pipelines, ensure data security and privacy, and manage data engineering infrastructure.

We are seeking a seasoned Lead Data Architect to spearhead the design and implementation of our enterprise data architecture.

This strategic leadership role will focus on defining and evolving our data architecture to support scalable, trusted, and analytics-ready data solutions.

The successful candidate will play a pivotal role in enabling data-driven decision making across the organization by designing architecture that supports AI, machine learning, business intelligence, and operational insights.

• Design and evolve scalable data architecture across raw, curated, and semantic layers.
• Define logical and physical data models with a focus on integrity, lineage, and reusability.
• Architect data pipelines across batch, streaming, and near real-time platforms using tools such as dbt, Kafka, Oracle GoldenGate, and Airbyte.
• Design hybrid data infrastructure supporting both on-premise and cloud-based solutions.
• Embed data governance, metadata management, and lineage into architecture frameworks.
• Ensure RBAC, observability, and automation are integrated into all design principles.
• Collaborate across Data Engineering, CDO, AI, BI, and Business teams to deliver trusted and governed data products.
• Mentor engineering teams and establish best practices around architecture and delivery.

Requirements:

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Minimum 10 years of experience in enterprise data architecture, modeling, and governance.
• Strong knowledge of hybrid data platforms and batch/stream processing architectures.
• Hands-on experience with technologies including Oracle, SQL Server, SingleStore, Kafka, Hadoop, Kubernetes, and Parquet.
• Experience working with healthcare data standards such as FHIR, OMOP, Cerner, Epic, and MDR.
• Proficiency in data governance and quality tools such as OvalEdge and YData.
• Familiarity with Azure DevOps, Docker, Kubernetes, and CI/CD frameworks for DataOps and MLOps.

What We Offer:

A collaborative work environment with experienced professionals at the forefront of healthcare transformation.

Opportunities for continuous learning and professional growth.

A competitive compensation package and benefits.

A dynamic and innovative company culture.

Seeking an experienced Microsoft Fabric Data Architect to design, build, and manage scalable data architectures leveraging Microsoft Fabric platform capabilities. The ideal candidate 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.

• Key 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.

Act as a consultant and advisor to our clients on various business cases and challenges related to cloud data engineering, with a focus on Azure services and PowerBI.

Design and implement data platforms following best practices and requirements of the company.

Present proof of concepts and demonstrate products when required.

Coordinate with different client teams on the architecture and configuration of data platforms.

• Ideally, a degree in Computer Science Engineering, Informatics, or related fields with an interest in cloud technologies.
• Fluent and articulate in English.
• Minimum of 3 years of relevant experience in design and delivery of cloud-based solutions, focusing on data engineering, data warehousing, and data visualization.
• Technical skills include:
• Azure Data Lake, Azure Data Factory, Databricks, Azure SQL DB & DWH (Synapse)
• Microsoft Fabric
• Azure EventHub, Azure Stream Analytics
• Azure DevOps (CI/CD)
• PowerBI
• Customer-oriented with excellent communication and presentation skills.
• Proactive, team player, committed, with a constant willingness to improve.
• Strong analytical and problem-solving skills.
• Excellent communication skills, work ethic, and the ability to lead multiple global virtual project teams.

• Work with cutting-edge technologies to accelerate your career development.
• Enjoy an excellent work environment where people love what they do.
• Be part of international, ambitious, and hardworking teams while having fun.
• Constant learning opportunities and training/certification in the latest technologies.
• Potential for growth within the team.

Join us in this exciting journey!

Cloud Data & AI Experts

4 weeks ago Be among the first 25 applicants

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 levelMid-Senior level

• Employment typeContract

• Job functionInformation Technology
• IndustriesIT Services and IT Consulting

Referrals increase your chances of interviewing at BlackStone eIT by 2x

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

Global Village, Dubai, United Arab Emirates 2 days ago

Dubai, Dubai, United Arab Emirates 20 hours ago

Dubai, Dubai, United Arab Emirates 23 hours ago

Dubai, Dubai, United Arab Emirates 17 hours ago

Dubai, Dubai, United Arab Emirates 17 hours ago

Dubai, Dubai, United Arab Emirates 17 hours ago

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

Job Summary:

• This role is responsible for maintaining customer and account databases by accurately entering new and updated information.

The ideal candidate will prepare source data for computer entry, compile and sort information, prioritize tasks to meet deadlines, and process customer and account source documents.

They will also resolve deficiencies using standard procedures and enter data into the system according to established protocols.

Maintaining data integrity is crucial, and the candidate will verify entered data, correct errors, and secure information through regular backups.

Ultimately, this position contributes to team success by following policies and procedures, reporting changes, and upholding confidentiality.

Key Responsibilities:

• Maintain accurate and up-to-date customer and account databases.
• Prepare source data for computer entry and compilation.
• Prioritize tasks to meet deadlines and ensure efficient workflow.
• Resolve discrepancies and errors in a timely manner.
• Enter data into the system according to established protocols and standards.

Requirements:

• Minimum 2 years of experience as a data entry specialist with a focus on database management.
• Strong analytical and problem-solving skills.
• Ability to maintain accuracy and attention to detail.
• Excellent communication and interpersonal skills.

Description:

We are seeking an experienced and detail-oriented individual to join our team as a Data Entry Assistant. In this role, you will be responsible for ensuring the accurate and efficient transfer of data between various systems and databases within our e-commerce platform.

Key Responsibilities:

1. Data Import/Export: Transfer data between internal and external systems, databases, and platforms, ensuring data accuracy and integrity.
2. Data Validation: Review and validate data to identify and correct any errors or inconsistencies, ensuring high data quality.
3. Inventory Management: Assist in updating and managing product listings, pricing, and inventory levels in real-time.
4. Data Transformation: Convert data from various formats (e.g., CSV, Excel) into the appropriate format for our databases and systems.
5. Data Mapping: Create and maintain data mapping documents to ensure proper data flow between systems and platforms.
6. Automation: Identify opportunities to automate data loading and transfer processes to improve efficiency and reduce manual efforts.
7. Data Maintenance: Regularly monitor and maintain data to ensure accuracy, completeness, and timeliness.
8. Collaboration: Work closely with cross-functional teams such as IT, marketing, and operations to meet data-related requirements and resolve issues.
9. Reporting: Generate and distribute reports on data-related activities, such as data transfer success rates and data quality metrics.

Requirements:

1. Proven experience in data management, data loading, or similar roles, preferably in an e-commerce environment.
2. Proficiency in data manipulation tools and languages such as SQL, Excel, and scripting languages.
3. Strong attention to detail and a commitment to data accuracy.
4. Problem-solving skills and the ability to troubleshoot data-related issues.
5. Excellent communication and collaboration skills.
6. Knowledge of e-commerce platforms and systems is a plus.

Benefits:

This is a full-time position that requires reliable commute or willingness to relocate with an employer-provided relocation package.