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3 Data Architect jobs in Qatar

Data Architect

QAR120000 - QAR240000 Y Commercial Bank

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Job Description

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.

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Denodo Data Architect

QAR90000 - QAR120000 Y Mannai Corporation QPSC

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Job Description

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.
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Data warehouse Expert

QAR84000 Y Flosara Technology solutions pvt ltd

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Job Description

A leading IT Industry in Doha, Qatar is hiring

Position-Data warehouse Expert

Educational Background:

  • B.Sc. in computer science, information technology, or a related field

Expected Experience

  • 10+ years of experience in data management roles, including data warehouse development, system integration, and IT project management.
  • 5+ Experience must be in the oil & gas industry, dealing with industrial or enterprise data.

Package offered- 7000$ per month

Job Overview:

The Data Warehouse Expert will lead the data management, integration, governance, and operations workstreams of the Plant Data Management (PDM) project – a strategic "Smart Plant" initiative to create a single source of truth for all critical engineering and production data. This senior role requires a seasoned professional with at least 10 years of experience in data management in the oil & gas industry. A strong background in Microsoft data warehousing technologies and an understanding of plant operational processes are essential for success

Key Responsibilities:

  • Evaluate the PDM project infrastructure-related components of bidder proposals, ensuring alignment with Dolphin Energy's architecture, data standards, & operational requirements.
  • Lead the implementation of single source of truth, focusing on MS technologies including Azure, Microsoft 365, MSSQL, & Power Platform in collaboration with implementation partners.
  • Collaborate with the solution enterprise architect to make sure the data warehouse design aligns with the overall solution architecture and IT infrastructure.
  • Lead the central repository architecture for integrated data from multiple sources (e.g. SAP, real-time systems, spreadsheets) in line with the PDM project requirements
  • Define the data models (schemas, tables, cubes) and storage strategy (on-premises MS SQL Server with potential hybrid cloud) to support reporting and analytics.
  • Ensure the configuration of ETL/ELT pipelines (using Microsoft SSIS or Azure Data Factory) to extract data from source systems, transform it, and load it into the warehouse.
  • Establish a robust data governance framework within the PDM scope, defining data ownership for different data domains (ensuring business stakeholders are identified as data owners), set up data stewardship roles if needed, and enforce policies for data usage, retention, and lifecycle management.
  • Enforce compliance with the company's cybersecurity and data privacy policies
  • Work to achieve high availability of the data platform. Implement redundancy and failover mechanisms as appropriate (clustering, backups, mirrored databases, etc.). Ensure disaster recovery plans are in place
  • Develop and implement data governance policies, standards, and procedures.
  • Collaborate with data owners and stewards to define data definitions, classifications, and quality rules.
  • Monitor data quality metrics and lead initiatives to resolve data issues.
  • Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and internal policies.
  • Maintain data catalogs, metadata repositories, and data lineage documentation.
  • Support data governance tools and platforms, ensuring proper configuration and usage.
  • Conduct training and awareness programs to promote data governance best practices.
  • Design and implement frameworks that enable secure, self-service access to data across departments.
  • Promote data literacy by developing training materials and conducting workshops on data usage and governance.
  • Support the deployment and adoption of data catalog and self-service BI tools.
  • Define and manage role-based access controls to balance data accessibility with security.
  • Act as a liaison between IT, data teams, and business stakeholders to and ensure relevant data is discoverable and usable.
  • Develop and implement data governance policies, standards, and procedures.
  • Collaborate with data owners and stewards to define data definitions, classifications, and quality rules.
  • Monitor data quality metrics and lead initiatives to resolve data issues.
  • Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and internal policies.
  • Maintain data catalogs, metadata repositories, and data lineage documentation.
  • Support data governance tools and platforms, ensuring proper configuration and usage.
  • Conduct training and awareness programs to promote data governance best practices.
  • Design and implement frameworks that enable secure, self-service access to data across departments.
  • Promote data literacy by developing training materials and conducting workshops on data usage and governance.
  • Support the deployment and adoption of data catalog and self-service BI tools.
  • Define and manage role-based access controls to balance data accessibility with security.

Technical Skills

  • Deep expertise in Microsoft Data Warehouse technologies – MS SQL Server, SQL Server Integration Services (SSIS) for ETL, SQL Server Analysis Services (SSAS) for OLAP, and SQL querying/tuning
  • Strong knowledge of relational and dimensional data modeling. Ability to design normalized schemas for staging and integration, as well as star/snowflake schemas for analytics.
  • Experience with handling large datasets (hundreds of gigabytes to terabytes) efficiently (partitioning, indexing strategies, etc.)
  • Hands-on experience integrating multiple systems and platforms Microsoft BizTalk, SAP, & SharePoint online.
  • Experience implementing data governance policies and using tools for data quality and metadata management
  • Proficient in project management practices.

Interested may apply or reach me @

Job Type: Contract

Contract length: 12 months

Pay: Up to QAR7,000.00 per month

Experience:

  • Data warehouse development: 10 years (Preferred)
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