14 Data Architect jobs in Qatar

We Are Hiring – Data Architect (Qatar)

We are searching for a Data Architect on behalf of one of our client companies based in Qatar.

Candidate must be an Arabic speaker

About the Role

We are looking for an experienced Data Architect with strong expertise in data architecture, cloud platforms, AI/Machine Learning and big data analytics. The ideal candidate will have a proven record of designing and delivering enterprise-scale data solutions, with experience implementing complex IT and data-driven projects across industries such as telecom, utilities, government, finance, or enterprise IT.

As a Data Architect, you will be a Subject Matter Expert in data integration, data warehousing, and system automation, enabling the organization to harness the power of AI and advanced analytics. You will design scalable data ecosystems, ensure governance and quality, and deliver intelligent solutions that support business transformation.

Key Responsibilities

·   Architect and implement enterprise data platforms (data lakes, warehouses, and pipelines).

·   Design and optimize data integration, migration, and governance frameworks.

·   Collaborate on building and deploying AI/Machine Learning-enabled data solutions.

·   Deploy and manage scalable solutions on cloud platforms (Google Cloud, AWS, Azure).

·   Implement and monitor data quality, security, and compliance controls.

·   Automate ETL/ELT workflows and optimize data systems for performance.

·   Work with stakeholders to translate business requirements into technical designs.

·   Provide technical leadership and mentoring within data and analytics teams.

Qualifications

·   Bachelor in Computer Science, Data Science, Mechanical Engineering, or related field.

·   8+ years of experience in data architecture and enterprise data solutions.

·   Expertise in data integration, data warehousing, and governance models.

·   Proficiency in Python, SQL, and big data tools.

·   Experience with AI/Machine Learning frameworks is a strong advantage.

·   Hands-on expertise with cloud platforms (Google Cloud, AWS, Azure).

·   Strong track record of delivering projects across the full lifecycle (initiation to closure).

·   Excellent communication and problem-solving skills.

·   Candidate must be located in Qatar

About Commercial Bank Of Qatar
Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar's economic development by offering a range of personal, business, government, international and investment services. We believe in empowering our employees, providing them with opportunities for growth and professional development.

By Joining us, you'll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.

Join us in shaping the future of banking

Job Summary
Commercial bank is looking to hire a Data Architect .The Data Architect will have relevant experience of 12+ years and work in the analysis, development , implementation and support of Data Architectures, Data Processing Platforms and technologies by effectively mapping the business requirements on top of those, supporting Initiatives in initiation for apply principles and patterns related with the domain preserving principles for keep Data Availability, improve Data Quality, prevent gaps in Data Glossary and Lineage, provide adequate Data Processing approach, segregating vs consolidating Upstreams and downstream integrity when integrated and follow Data Governance processes.

Is key role in order to support the creation a coherent roadmap providing the busines capability mapping as part of the Data Architecture Domain, the link with Delivery and Business Teams is crucial for the organization providing the proper impact analysis in order to keep the business continuity of the Bank in regards of informational and operational landscape as a part of the mentioned roadmaps.

*Key Accountabilities *
Define, refine, divulgate and govern Data Architecture foundations, principles from Abstract to Specific.

Contribute to the overall Enterprise Architecture in relation of the Data Strategy of the bank and support Architecture Board for evaluate the initiatives and be main responsible and accountable in regards of key cross functions like
Data Governance and Engineering Team
and
Data Scient Team
as well as
Domain Specific Teams
for accommodate the Change like Core Banking, Cards, Customer Insights

Other Accountabilities
Coordinate with the Governance & Engineering, Data Science and IT Domains teams to identify future needs and requirements

Able to articulate the information flows and High Level Design sections around it, indicating the As-is architecture, the TOBE Architecture and the Transitional Architectures required for ensure the Stability of Data Processing, Data Governance, Data Quality platforms, selecting the proper technology for accommodate business requirements.

Document High Level Designs (HLD) providing the E2E view for Information Flows, requesting the Low Level Designs (LLD) are supporting the HLD in order to ensure delivery teams follow the strategy and principles.

Skills And Experience

• Experience Develop large scale distributed storage systems intersecting Payments Strategy and Data Processing Platforms, Microservices architectures, and reliable monitoring and deployment infrastructure. Strong verbal and written skills, especially around code documentation

• Ability to work in a team environment, independently, take direction, and follow instruction . Exposure and experience in Distributed Architecture, Event driven Architecture, Microservices, Confluent Kafka, OpenAPI, Java, Java (Spring Boot) and Cloud Native solutions based on Kubernetes or OpenShift . Demonstrated Experience in World Wide Payment Processing Platforms or intersecting with it:

• Participating in the development & review of business & system requirements to obtain a thorough understanding of business needs in order to deliver accurate solutions

• Facilitating design & development solutions/ initiatives involving mapping of business requirements and leading in-depth evaluation of customer feedback to execute modifications in the solution
• Coordinating for test planning & designs for various projects and successfully leading Functional, System, Integration Test.
• Defining the strategies, technical architecture and evaluation and inclusion of new technology for implementation and operations of client services, product support, quality assurance and training Strong in DevOps concepts and should be capable to work in DevOps implementation.

*Why Commercial Bank? *

• Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance.
• An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking
• Opportunities for Global Partnerships & International Exposure, connecting employees with global networks and perspectives.
• A focus on Employee Well-being & Work-Life Balance, ensuring a healthy and supportive environment for all team members
• Competitive Compensation & Benefits that ensure our employees are rewarded for their dedication and performance
• A strong Commitment to Diversity, Equity & Inclusion, fostering a culture that values every individual's unique perspective

At Commercial Bank, we don't just offer careers, We shape futures by pioneering
digital transformation
in Qatar's banking sector, blending
digital-first
approach to redefine banking through
innovative
solutions.

Disclaimer
We appreciate your interest in joining CBQ Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.

We are seeking an experienced Data Architect Consultant to design and implement robust data architectures that enable organizations to manage, integrate, and utilize data effectively. The role involves working with clients to define data strategies, ensure scalability, and align architecture with business goals.

Key Responsibilities:

• Design and implement enterprise-level data architecture, models, and integration frameworks.
• Define data management strategies, governance, and security standards.
• Collaborate with business and technical stakeholders to translate requirements into scalable solutions.
• Optimize data storage, pipelines, and platforms to support advanced analytics and BI initiatives.
• Provide technical guidance on cloud, big data, and emerging data technologies.

Requirements:

• Proven experience in data architecture, data modeling, and solution design.
• Strong knowledge of SQL, ETL, data warehousing, and cloud platforms (Azure, AWS, GCP).
• Familiarity with big data tools (e.g., Hadoop, Spark) and modern data platforms.
• Excellent communication and consulting skills, with the ability to engage with stakeholders at all levels.
• Prior consulting or client-facing experience is highly desirable.

This is a 12-month fixed-term contract with the potential to transition into a permanent role.

Mid-Senior level

Contract

Consulting, IT Services and IT Consulting

We are looking for an experienced
Denodo Data Architect
to lead the design and implementation of data virtualization solutions. The role involves integrating diverse data sources into a unified data layer, defining best practices for data modeling, governance, and security, and ensuring high performance through caching and query optimization. You will provide technical leadership on Denodo deployments, work closely with business and technical teams, and mentor junior members.

Responsibilities

• Lead the design and architecture of data virtualization solutions using the Denodo Platform.
• Define best practices for data modeling, data governance, metadata management, and security within Denodo.
• Collaborate with business stakeholders, data engineers, and BI teams to understand requirements and design scalable, high-performing data solutions.
• Integrate diverse data sources (cloud, on-prem, relational, APIs, big data platforms, etc.) into a unified data layer.
• Establish data caching, query optimization, and performance tuning strategies for Denodo environments.
• Provide technical leadership on Denodo deployment, configuration, upgrades, and troubleshooting.
• Work closely with enterprise architects to align data virtualization strategy with overall enterprise data architecture.
• Mentor junior team members and provide training/guidance on Denodo best practices.
• Create and maintain technical documentation for architecture, design, and operational procedures.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
• 8+ years of experience in data architecture, data integration, or BI roles.
• 8+ years of hands-on experience with Denodo Platform (including VDP, Scheduler, Solution Manager, Data Catalog).
• Strong knowledge of SQL, data modeling, data virtualization, and API-based integration.
• Experience with cloud platforms (Azure Data Services "ADF" , Synapse , Databricks) and hybrid data architectures.
• Hands on experience with ETL/ELT tools, data lakes, data warehouses, and BI/reporting tools.
• Expertise in performance tuning, caching strategies, and query optimization.
• Strong understanding of data governance, metadata management, and security practices.
• Excellent problem-solving, communication, and leadership skills.

Job Role: Big Data Engineer – Dremio Administrator

Location: Qatar/offshore

Job Type: Yearly Renewable Contract

Industry: Banking

Our client is looking for a skilled
Big Data Engineer – Dremio Administrator
to join their dynamic team. If you have strong hands-on experience with
Dremio administration
and a passion for optimizing big data environments, this role is perfect for you.

Role Overview:

• Administer and optimize the newly implemented Dremio platform
• Develop and deploy Machine Learning modules, scoring cards, and automated delivery platforms for banking use cases
• Build and manage data pipelines using Python & Airflow
• Ensure high-performance SQL query optimization & data integration
• Collaborate with business teams to deliver end-to-end analytics & BI solutions

Must-Have Skills:

• Strong Banking / Financial services domain experience (preferred & highly valued)
• Proven expertise in Python
• Proficiency in MS SQL
• Hands-on experience with Apache Airflow
• Dremio administration (newly implemented – critical skill)

Nice-to-Have:

• Broader experience in Big Data technologies
• Exposure to Cloud platforms (AWS, Azure, GCP)
• Strong background in data pipelines, ETL & BI tools

Indeed Job Post:

Job Title: Big Data Platform Developer

Location: Doha, Qatar

Job Overview:

We are hiring a Big Data Platform Developer skilled in Python, Java, and big data technologies to design and optimize our client's big data platform. You will be responsible for data ingestion, normalization, visualization, and automated reporting.

Key Responsibilities:

• Parse, inject, and normalize large datasets
• Develop dashboards, heat maps, and visualization reports
• Build and automate data pipelines for real-time analytics
• Generate detailed reports for stakeholders
• Collaborate with data scientists & cybersecurity teams
• Maintain technical documentation

Qualifications:

• Bachelor's in Computer Science, Data Science, or related field
• 4–6 years of big data experience (Hadoop, Spark, Kafka)
• Strong coding skills in Python & Java
• Proficiency in SQL/NoSQL databases, REST APIs, and cloud platforms (AWS/Azure/GCP)
• Familiarity with Tableau, Power BI, or other visualization tools
• Strong problem-solving and collaboration skills

About Proztec:

Proz Technologies (PROZTEC), based in Doha, Qatar, is a leading ICT firm with 300+ employees. Be part of a growing team delivering innovative data-driven solutions.

Apply now by sending your CV to

Job Type: Full-time

Pay: QAR15, QAR18,000.00 per month

Experience : 5+yrs

We seek a talented Data Engineer with AI & ML knowledge to join our team. As a Data Engineer or MLOps Engineer, your primary responsibility will be to develop & integrate ML solutions that focus on technology improvements. Specifically, you will be working on projects involving leveraging AI/ML for Data Management Efficiencies & Query Optimizations.

• Collaborate with cross-functional teams such as Data Scientists, Product Partners and Partner Team Developers to identify opportunities for Big Data, Query ( Spark, Hive SQL, BigQuery, SQL ) tuning opportunities that can be solved using machine learning and generative AI.
• Write clean, high-performance, high-quality, maintainable code.
• Create backend applications using Python, docker, Google Cloud & in-house ML frameworks to orchestrate end to end applications
• Design and develop Big Data Engineering Solutions & generative AI Applications for above ensuring scalability, efficiency, and maintainability of such solutions.
• Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.
• Stay abreast of the latest advancements in the field of Generative AI Application Development and actively contribute to the research and development of new Generative AI Applications.

• Proven experience working as a Big Data & MLOps Engineer, with a focus on Python, Google Cloud, Spark, Spark SQL, BigQuery, and Generative AI Applications.
• Deep understanding and experience in tuning Dataproc, BigQuery, and Spark Applications.
• Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.

Overview

Experience : 5+yrs

We seek a talented Data Engineer with AI & ML knowledge to join our team. As a Data Engineer or MLOps Engineer, your primary responsibility will be to develop & integrate ML solutions that focus on technology improvements. Specifically, you will be working on projects involving leveraging AI/ML for Data Management Efficiencies & Query Optimizations.

• Collaborate with cross-functional teams such as Data Scientists, Product Partners and Partner Team Developers to identify opportunities for Big Data, Query ( Spark, Hive SQL, BigQuery, SQL ) tuning opportunities that can be solved using machine learning and generative AI.
• Write clean, high-performance, high-quality, maintainable code.
• Create backend applications using Python, docker, Google Cloud & in-house ML frameworks to orchestrate end to end applications
• Design and develop Big Data Engineering Solutions & generative AI Applications for above ensuring scalability, efficiency, and maintainability of such solutions.
• Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.
• Stay abreast of the latest advancements in the field of Generative AI Application Development and actively contribute to the research and development of new Generative AI Applications.

• Proven experience working as a Big Data & MLOps Engineer, with a focus on Python, Google Cloud, Spark, Spark SQL, BigQuery, and Generative AI Applications.
• Deep understanding and experience in tuning Dataproc, BigQuery, and Spark Applications.
• Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.