data analyst

data governance analyst

senior architect

senior enterprise architect (roads o&m) Jobs in Doha

senior enterprise architect (roads o&m)

application engineer

enterprise data architect

Codvo.ai

<div><div><div>Data Architect (Category - Architect)
Sector: Oil and Gas
Location: Doha, Qatar<div></div> 
About Us
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology. 
Our Vision: Engineering the Future of Energy with Data
Our digital transformation is moving from strategy to execution. We have a clear roadmap of high-impact data and AI use cases designed to fundamentally re-engineer our operations&mdash;from improving efficiency and implementing predictive maintenance on critical assets to enhancing subsurface modeling for better exploration outcomes. This is not just an IT upgrade; it is a core business imperative to create a more resilient, efficient, and intelligent energy company. We are now building the core team of innovators and builders to deliver these initiatives. This role is critical to bringing that vision to life, moving beyond theory to engineer the specific, robust data solutions that will power our most strategic projects and deliver measurable value. 
The Opportunity:
The Data Architect will be responsible for designing, governing, and evolving the organization&rsquo;s enterprise data architecture, ensuring that data platforms are scalable, secure, interoperable, and AI-ready. This role focuses on defining data models, integration patterns, governance standards, and architecture blueprints that enable analytics, AI, and digital products at scale.
The architect will work closely with data engineers, solution architects, cloud teams, business stakeholders, and cybersecurity teams to ensure data architecture aligns with business priorities and regulatory requirements. 
Job Description:
Key Responsibilities: 
Enterprise Data Architecture &amp; Design:<ul><li>Define and maintain the enterprise data architecture blueprint, including data lakes, warehouses, streaming platforms, and analytics layers.</li><li>Design logical, physical, and conceptual data models to support operational, analytical, and AI use cases.</li><li>Ensure architecture supports scalability, performance, and high availability.</li></ul> 
Cloud Data Platforms &amp; Integration:<ul><li>Architect cloud-native data platforms using Azure (ADF, Synapse, Databricks, Fabric) and/or GCP equivalents.</li><li>Design secure hybrid architectures integrating on-premises systems with cloud data platforms.</li></ul> 
 Data Governance, Quality &amp; Security:<ul><li>Define and enforce data governance frameworks, including metadata management, data lineage, data ownership, and stewardship models.</li><li>Establish data quality standards, validation rules, and monitoring mechanisms.</li><li>Ensure compliance with ISO 27001, NIA Qatar, data privacy, and internal cybersecurity policies.</li><li>Define data security architecture including encryption, access control, and role-based data access.</li></ul> 
 Analytics, AI &amp; Advanced Use Cases:<ul><li>Design data architectures that support advanced analytics, AI/ML, and digital twin initiatives.</li><li>Collaborate with data scientists and analysts to optimize data models for analytics and AI consumption.</li></ul> 
 Architecture Governance &amp; Leadership:<ul><li>Establish data architecture standards, reference architectures, and best practices.</li><li>Review solution designs to ensure alignment with enterprise data architecture principles.</li></ul> 
Required Skills and Qualifications:<ul><li> 
Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Engineering, Information Systems, or related field.</li><li>10+ years of experience in data architecture, data engineering, or enterprise analytics roles.</li><li>Strong experience designing enterprise-scale data platforms in cloud and hybrid environments.</li><li>Expertise in data modelling (conceptual, logical, physical) and data integration patterns.</li><li>Deep understanding of data lakes, data warehouses, Lakehouse architectures, and real-time streaming platforms.</li><li>Hands-on experience with cloud data services (Azure preferred).</li><li>Strong knowledge of SQL, data transformation frameworks, and metadata management.</li><li>Familiarity with DevOps and DataOps practices.</li><li>Strong communication skills with the ability to engage both technical and business stakeholders.</li></ul> 
Technical Proficiencies:<ul><li>Expert-level proficiency in SQL and Python for data manipulation and pipeline development.</li><li>Big Data Technologies: Hands-on experience with distributed computing frameworks like Apache Spark (PySpark). Experience with streaming technologies like Kafka is a plus.</li><li>Cloud Platforms: Deep experience with Microsoft Azure (Azure Data Lake Storage, Azure Data Factory, Azure Databricks, Azure Synapse).</li><li>Data Warehousing/Lakehouse: Proven experience with modern data platforms Databricks Delta Lake.</li><li>AI &amp; ML Knowledge: Understanding of machine learning lifecycles and the data requirements for training and deploying AI/ML models.</li><li>Orchestration: Experience with workflow orchestration tools like Airflow, Dagster, or Azure Data Factory.</li><li>Databases: Strong understanding of both relational (e.g., PostgreSQL, SQL Server) and NoSQL databases. Experience with graph databases (e.g., Neo4j) and vector databases is highly desirable.</li><li>Version Control: Proficiency with Git and CI/CD best practices.</li></ul> 
Preferred Qualifications:<ul><li>Certifications such as Azure Data Engineer Expert, Azure Solutions Architect, or equivalent.</li><li>Hands-on experience with the OSDU&trade; Data Platform.</li><li>Experience in Oil &amp; Gas, energy, or industrial data environments.</li><li>Understanding of cybersecurity considerations for OT environments and data segregation.</li><li>Experience integrating data from ERP systems like SAP.</li><li>Experience working within AI-first or analytics-driven transformation programs.</li><li>Advanced SQL skills, including query optimization and performance tuning.</li><li>Knowledge of containerization technologies (Docker, Kubernetes).</li><li>Experience of constructing and maintaining enterprise knowledge graphs.</li></ul></div></div></div>

Data Architect (Category - Architect) (Doha)

COZMALABS

We are seeking an experienced Data &amp; AI Architect &ndash; Microsoft Azure to design, architect, and lead the implementation of scalable, secure, and high-performing data and artificial intelligence solutions on the Azure platform. The ideal candidate will work closely with business stakeholders, data engineers, data scientists, and application teams to translate business requirements into modern cloud-based data and AI architectures that drive insights and innovation.Experience<ul><li>7&ndash;10 years of experience as a Data Architect on Microsoft Azure.</li><li>hands-on experience in AI/ML solutioning in Microsoft Azure.</li><li>Proven experience designing enterprise-scale cloud data platforms.</li></ul>Technical &amp; Cloud Skills<ul><li>Azure Databricks (Spark, Delta Tables)</li><li>Azure Synapse Analytics (Dedicated &amp; Serverless SQL)</li><li>Azure Data Factory</li><li>Microsoft Fabric (Lakehouse, OneLake, Warehouse)</li><li>Experience with Azure SQL, Synapse SQL, and other analytical databases (Snowflake is a plus).</li><li>Strong knowledge of Azure services including Azure AI, Azure ML, Data Factory, and Cognitive Services.</li><li>Experience building Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI</li></ul>Key Responsibilities<ul><li>Define and own end-to-end data architecture using Azure Synapse, Databricks, Azure Data Factory, Power BI, and Microsoft Fabric</li><li>Lead the architecture and delivery of enterprise-scale AI/ML solutions aligned with business goals and emerging technologies.</li><li>Provide LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation</li><li>Design data models, Lakehouse, and data warehouse architectures for structured and semi-structured data</li><li>Architect and govern ETL/ELT pipelines using ADF, Databricks, Synapse Pipelines, and Fabric Data Pipelines.</li><li>Implement data security, governance, and access controls across cloud data platforms.</li><li>Provide architectural guidance and optimized solutions for complex data engineering challenges.</li><li>Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike</li></ul>Job Type: Full-timeWork Location: In person

Azure Data Architect

Metromet Contracting WLL

This role is tailored for a highly experienced System Analyst (5+ years) seeking to transition expertise into the Enterprise Architecture (EA) domain. The position demands deep technical design proficiency and the ability to apply systemic thinking to strategic, enterprise-wide challenges. The successful candidate will play a critical role in formalizing architecture governance and defining the long-term technology blueprint.Core Responsibilities and Focus Areas1. System Architecture Documentation &amp; Governance<ul><li>Documentation: Own the development and maintenance of comprehensive Current-State and Target-State architectural documentation for major technology platforms and business domains.</li><li>Design Translation: Convert complex business requirements and strategic mandates into clear, robust technical design specifications and architectural blueprints.</li><li>Standards Adherence: Enforce technical standards, design patterns, and architectural principles across development and engineering teams to ensure solution quality, scalability, and security.</li></ul>2. Strategic Planning and Modeling<ul><li>Gap Analysis: Assist Enterprise Architects in performing detailed capability gap analysis to identify discrepancies between current IT capabilities and required strategic goals.</li><li>Roadmap Contribution: Provide data-driven input to the Technology Roadmap, focusing on technical dependencies, retirement of legacy systems, and integration opportunities.</li><li>Architecture Modeling: Utilize and contribute to architectural modeling tools and standards (e.g., UML, Archimate) to effectively visualize and communicate complex architectural decisions.</li></ul>3. Architectural Review and Stakeholder Engagement<ul><li>Review Preparation: Prepare and present detailed architectural proposals, impact analyses, and technology assessments for review by the Architectural Review Board (ARB).</li><li>Cross-Domain Collaboration: Engage actively with business leaders, Product Managers, and IT domain experts to align system design choices with overarching Business, Application, Data, and Technology strategies.</li><li>Technology Evaluation: Conduct objective evaluations of new technologies and vendors, assessing technical feasibility, risk, and integration impact on the enterprise landscape.</li></ul>Educational RequirementBachelor&rsquo;s Degree, or equivalent work experience, in Computer Science or related field preferred or equivalent work experienceCandidates immediately available in Qatar and having a QID with NOC for visa transfer to apply.Job Types: Full-time, Permanent, Contract Contract length: 12 monthsApplication Question(s):<ul><li>Are you an immediate candidate available in Qatar having a QID with NOC?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>System Architecture Documentation &amp; Governance: 5 years (Required)</li><li>Strategic Planning and Modeling: 5 years (Required)</li><li>Architectural Review and Stakeholder Engagement: 5 years (Required)</li></ul>Language:<ul><li>Arabic (Preferred)</li><li>English (Required)</li></ul>

System Analyst, Enterprise Architecture

Mindstream

We are seeking a highly skilled Azure Data Engineer with extensive experience in building, optimizing, and managing scalable data solutions on Microsoft Azure. The ideal candidate will have hands-on expertise in Azure Databricks, Data Factory, Data Lake Storage, and Event Hub, along with strong programming and data engineering skills.Required Skills and Qualifications:<ul><li>8+ years of experience as an Azure Data Engineer or similar role.</li><li>Strong expertise in Azure Databricks, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Event Hub.</li><li>Proficiency in programming languages such as PySpark, Scala, or SQL.</li><li>Experience with data modeling, data warehousing, and big data technologies.</li><li>Knowledge of Delta Lake and other data storage formats.</li><li>Familiarity with data integration tools and techniques.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Knowledge of data governance and data quality best practices.</li><li>Strong communication and collaboration skills.</li><li>Certification in Microsoft Azure Data Engineering or irelated areas is a plus</li><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Do you have a minimum of 8 years of total experience as a Data Engineer or in a similar role?</li><li>How many years of hands-on experience do you have with Azure Databricks?</li><li>How many years of experience do you have working with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS)?</li><li>Do you have experience with data modeling, data warehousing, and big data technologies?</li><li>What is your current and expected salary? Notice period?</li></ul>

Azure Data Engineer -

We are seeking a highly skilled Azure Data Engineer with extensive experience in building, optimizing, and managing scalable data solutions on Microsoft Azure. The ideal candidate will have hands-on expertise in Azure Databricks, Data Factory, Data Lake Storage, and Event Hub, along with strong programming and data engineering skills.Required Skills and Qualifications:<ul><li>8+ years of experience as an Azure Data Engineer or similar role.</li><li>Strong expertise in Azure Databricks, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Event Hub.</li><li>Proficiency in programming languages such as PySpark, Scala, or SQL.</li><li>Experience with data modeling, data warehousing, and big data technologies.</li><li>Knowledge of Delta Lake and other data storage formats.</li><li>Familiarity with data integration tools and techniques.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Knowledge of data governance and data quality best practices.</li><li>Strong communication and collaboration skills.</li><li>Certification in Microsoft Azure Data Engineering or irelated areas is a plus</li><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Do you have a minimum of 8 years of total experience as a Data Engineer or in a similar role?</li><li>How many years of hands-on experience do you have with Azure Databricks?</li><li>How many years of experience do you have working with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS)?</li><li>Do you have experience with data modeling, data warehousing, and big data technologies?</li><li>What is your current and expected salary?</li><li>What is your notice period?</li></ul>

Azure Data Engineer _

QatarEnergy

<div>
 
 Primary Purpose Of The Job
 
 
 
 The Senior Digital Architect is responsible for designing, implementing, and maintaining Cloud digital platforms across the organization. This role focuses on enhancing enterprise analytics capabilities by integrating AI/ML models, emerging technologies, and large-scale data processing frameworks to drive data-driven decision-making and operational efficiency. Additionally, the digital architect will collaborate with business and technical teams to accelerate digital transformation, streamline data governance, and adopt emerging technologies to drive continuous innovation.
 
 
 
 Principle Accountabilities
 
 
 
 <ul>
 <li>
 Design scalable, secure, and cloud-native architecture frameworks for AI/ML solutions, including MLOps pipelines, model deployment infrastructure, and integration patterns.
 </li>
 <li>
 Establish architectural guidelines for implementing generative AI solutions, including safety measures and ethical considerations.
 </li>
 <li>
 Design scalable architectures for packaging AI/ML models as production-ready APIs or custom applications/microservices.
 </li>
 <li>
 Define technical standards for model deployment, monitoring, and maintenance.
 </li>
 <li>
 Identify and evaluate industry-specific data and AI platforms, Auto-ML tools to fit business use cases and derive value.
 </li>
 <li>
 Partner with business stakeholders to understand requirements and translate them into technical solutions
 </li>
 <li>
 Establish governance frameworks for AI model lifecycle management
 </li>
 <li>
 Assess technical and Information security risks and provide mitigation strategies in the implementation of digital solutions
 </li>
 <li>
 Audit AI tools and practices across data, models and engineering, focusing on continuous improvement and feedback mechanisms.
 </li>
 <li>
 Provide strategic and technical guidance to stakeholders regarding digital solutions, cloud architecture, and platform optimizations.
 </li>
 <li>
 Stay updated on emerging technologies and apply cloud-native, AI/ML-driven solutions, automation tools to foster innovation in business processes.
 
 
 </li>
 </ul>
 
 Required Experience And Skills
 
 
 
 
 AI/ML Expertise
 
 
 
 <ul>
 <li>
 8+ years of experience in digital solution architecture, with at least 5 years focusing on AI/ML solutions preferably in the Energy Sector.
 </li>
 <li>
 Proven track record of designing and implementing enterprise-scale AI/ML architecture/solutions.
 </li>
 <li>
 5+ years of experience with AI/ML frameworks (TensorFlow, PyTorch, etc.) and AI model deployment.
 </li>
 <li>
 Proficient in large language models and generative AI implementations.
 </li>
 <li>
 Experience in prompt engineering, RAG, and fine-tuning to optimize model performance and response accuracy.
 </li>
 <li>
 Experienced with real-time ML systems and edge computing.
 
 
 </li>
 </ul>
 
 MLOps and DataOps
 
 
 
 <ul>
 <li>
 Strong knowledge of MLOps practices and tools.
 </li>
 <li>
 Proficiency in MLOps and DataOps methodologies, including CI/CD pipelines, ML model monitoring, and automation.
 </li>
 <li>
 Experience with DevOps, serverless computing, and containerization (Docker, OpenShift, Kubernetes).
 
 
 </li>
 </ul>
 
 Cloud and Architecture
 
 
 
 <ul>
 <li>
 Strong expertise in one of the cloud computing platforms (Azure, GCP), cloud services (SaaS, PaaS, DaaS), and microservices-driven architectures.
 </li>
 <li>
 Experience in designing scalable architectures for packaging AI/ML models as production-ready APIs or custom applications/microservices.
 </li>
 <li>
 Working knowledge of system integration approaches, modern data architectures, and cloud-native application design.
 
 
 </li>
 </ul>
 
 Governance and Compliance
 
 
 
 <ul>
 <li>
 In-depth understanding of data governance frameworks, cybersecurity principles, regulatory compliance, and AI ethics in enterprise settings.
 </li>
 <li>
 Knowledgeable in AI/ML regulatory compliance.
 
 
 </li>
 </ul>
 
 Communication and Collaboration
 
 
 
 Excellent communication skills to effectively collaborate with business, technical, and product teams and translate complex technical requirements into actionable solutions
 
 
 
 Educational Qualifications
 
 
 
 <ul>
 <li>
 A degree in Information Management, Engineering, or a technology related field, demonstrating strong analytical and quantitative skills.
 </li>
 <li>
 Advanced degrees (Master's or PhD) in Data Science, Applied Machine Learning, Computer Science, or Statistics is highly desirable
 </li>
 </ul>
</div>

SR. DIGITAL ARCHITECT

Egis Group

<div>Company Description 
Egis is a leading global architectural, consulting, construction engineering, operations and mobility services firm. We create and operate intelligent infrastructure and buildings that both respond to the climate emergency and contribute to balanced, sustainable and resilient development. Our 20,500 employees operate across over 100 countries, deploying their expertise to develop and deliver cutting-edge innovations and solutions for clients. Through the wide range of our activities, we are central to the collective organisation of society and the living environment of citizens all over the world.&quot;
With 3,500 employees across 8 countries in the Middle East, Egis has delivered over 700 complex development projects, stimulating economic growth and enhancing quality of life. Ranked among the top ten firms in the Middle East by Engineering News Record (ENR), Egis is committed to sustainable development. The Group&rsquo;s operations in the Middle East are built on strategic acquisitions and a deep understanding of local market conditions. Egis&rsquo; long history of providing comprehensive engineering, consulting, and project management services makes it a trusted partner for regional governments, investors, and developers. 
Job Description 
The Senior Enterprise Architect defines, leads, and governs the overall architecture of the organization&rsquo;s Information System. 
They ensure strategic alignment between business objectives, processes, and technology, designing a consistent, scalable, and sustainable target architecture of the systems.
2. Key Responsibilities
A. Architecture Governance &amp; Strategy<ul><li>
Define the enterprise architecture vision (business, data, applications, infrastructure).</li><li>
Ensure consistency and integration of the Information System.</li><li>
Build and maintain technology roadmaps and strategic capital improvement plans.</li><li>
Establish and enforce architecture frameworks</li></ul>
B. Analysis &amp; System Modeling<ul><li>
Map business processes, applications, data flows, and infrastructure components.</li><li>
Identify redundancies, obsolete systems, technical risks, and improvement opportunities.</li><li>
Propose target architectures (operating models, application landscapes, data models).</li></ul>
C. Leadership in Strategic Projects<ul><li>
Support major transformation programs: digital transformation, cloud migration, Information System urbanization, cybersecurity initiatives.</li><li>
Define technical and functional standards across the enterprise.</li><li>
Validate the choices on technology, application, and infrastructure</li><li>
Ensure all projects comply with enterprise architecture guidelines.</li></ul> 
D. Communication &amp; Stakeholder Coordination<ul><li>
Act as a key liaison between executives, departments, IT teams, data teams, cybersecurity, and external vendors.</li><li>
Prepare decision-making documents for senior management (ROI, risk assessments, architecture scenarios).</li><li>
Guide and coach teams to ensure a clear understanding of architectural decisions.</li></ul>
E. Innovation &amp; Continuous Improvement<ul><li>
Conduct technology watch: Cloud, AI, Big Data, cybersecurity, IoT, automation.</li><li>
Identify innovation opportunities to enhance business efficiency and performance.</li><li>
Promote architectural best practices, standards, and methodologies.</li></ul>
3. Required Technical Skills<ul><li>
Strong mastery of Enterprise Architecture frameworks (e.g. TOGAF, ArchiMate).</li><li>
Expertise in application architectures (microservices, APIs, containers).</li><li>
Solid knowledge of data architecture: SQL/NoSQL, data governance, data modeling.</li><li>
Advanced understanding of cybersecurity, IAM, Zero Trust models.</li><li>
Familiarity with infrastructure fundamentals: networking, virtualization, storage, DevOps practices.</li><li>
Knowledge on Cloud Architectures</li></ul>
4. Soft Skills<ul><li>
Strong analytical and synthesis skills.</li><li>
Leadership and ability to influence across teams.</li><li>
Excellent communication with both technical and business stakeholders.</li><li>
Long-term strategic vision.</li><li>
Ability to arbitrate, negotiate, and make high-impact decisions.</li><li>
Precision, rigor, and strong documentation capability.</li></ul> 

Qualifications 
<ul><li>
Master&rsquo;s degree or engineering degree in Computer Science or Information Systems.</li><li>
8 to 15 years of experience in IT, including architecture, development, data, or infrastructure roles.</li><li>
Proven experience in large-scale or highly complex environments.</li><li>
TOGAF certification (or equivalent) could be a strong advantage.</li></ul> 
Key Performance Indicators (KPIs)<ul><li>
Reduction of complexity and increased consistency of the whole Information System.</li><li>
Rationalization of technologies and applications, leading to cost optimization.</li><li>
Adherence to strategic roadmaps.</li><li>
Success of major transformation programs (modernization, cybersecurity,..).</li><li>
Improved time-to-market and operational performance.</li></ul> 

Additional Information</div>

Senior Enterprise Architect (Roads O&M)

Explore 697+ Enterprise data architect in Doha this January. Find roles across top companies and apply now to boost your career.