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azure data (warehouse) engineer

data architect

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking a hands-on and visionary Data Architect to join the Data &amp; AI team. The ideal candidate will play a pivotal role in designing and implementing enterprise-grade data architectures leveraging Microsoft Fabric, Fabric Pipelines, and Notebooks, while driving data integration across enterprise applications.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Data Architecture &amp; Platform Design
</p></div><div><p>Architect and implement enterprise data platforms leveraging Microsoft Fabric, Fabric Pipelines, Notebooks, and Power BI.
</p></div><div><p>Define and maintain end-to-end data architecture blueprints, encompassing ingestion, transformation, storage, and consumption layers.
</p></div><div><p>Establish data modelling standards, metadata management, and lineage tracking frameworks.
</p></div><div><p>Design scalable data pipelines integrating diverse data sources and systems across the organization.
</p></div><div><p>Enterprise &amp; Application Integrations
</p></div><div><p>Lead technical discussions for new data source onboarding and application integrations across business units and applications.
</p></div><div><p>Collaborate with enterprise architects to define integration patterns using APIs, events, and microservices for seamless data exchange.
</p></div><div><p>Ensure interoperability between AI Solutions, ERP, CRM, and bespoke enterprise applications.
</p></div><div><p>Data Strategy &amp; Governance
</p></div><div><p>Contribute to defining data strategy roadmaps supporting digital transformation initiatives.
</p></div><div><p>Manage data governance stream to enforce data quality, cataloging, and compliance frameworks.
</p></div><div><p>Drive data standardization and harmonization across platforms to enable enterprise-wide analytics.
</p></div><div><p>Implementation &amp; Delivery
</p></div><div><p>Translate business requirements into technical blueprints and lead solution design across engineering squads.
</p></div><div><p>Oversee implementation of Fabric-based pipelines and notebooks, ensuring performance, scalability, and security.
</p></div><div><p>Guide data engineers and analysts through technical mentoring, reviews, and architectural alignment.
</p></div><div><p>Innovation &amp; Enablement
</p></div><div><p>Champion the adoption of modern data practices, automation, and self-service analytics enablement.
</p></div><div><p>Drive PoCs and accelerators to integrate AI/ML-ready data architectures.
</p></div><div><p>Continuously evaluate emerging technologies to future-proof the data ecosystem.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Education &amp; Experience:
</p></div><div><p>Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
</p></div><div><p>8-12 years of experience in data architecture, data engineering, or enterprise data platform design.
</p></div><div><p>Proven experience in Microsoft Fabric implementation, including Fabric Pipelines, Notebooks, and Power BI integration.
</p></div><div><p>Strong command of SQL, PySpark, and Python for data transformation and orchestration.
</p></div><div><p>Experience leading data source integrations and application data flow design discussions.
</p></div><div><p>Familiarity with Azure Data Lake, Azure SQL, and data modeling (3NF, Dimensional, Data Vault).
</p></div><div><p>Deep understanding of data governance, cataloguing, and data quality frameworks.
</p></div><div><p>Prior exposure to enterprise-scale integrations involving ERP/CRM platforms (Oracle, Dynamics).
</p></div></div><p>Nice to have
</p><div><div><p>Soft Skills
</p></div><div><p>Strong analytical and architectural problem-solving skills.
</p></div><div><p>Excellent communication and ability to articulate complex data concepts to technical and business stakeholders.
</p></div><div><p>Collaborative mindset, capable of working across multi-disciplinary teams.
</p></div><div><p>Strategic thinker with an execution-driven attitude.
</p></div><div><p>Preferred Certifications
</p></div><div><p>Microsoft Certified: Fabric Analytics Engineer Associate
</p></div><div><p>Azure Data Engineer Associate or equivalent certifications
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Abu Dhabi, United Arab Emirates
</p></div><p>Req. VR-118739
</p></div><div></div><div><div><p>Data Architecture
</p></div><div><p>BCM Industry</p>
</div><div><p>13/11/2025
</p></div><div><p>Req. VR-118739</p></div></div></div><p></p>

Data Architect

Etihad

<div>
 Synopsis
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 Responsible for designing and developing data solutions for Data Agile Release Train, ensuring the alignment of solution designs conforming to architectural standards, business requirements, budgets &amp; strategy
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 Accountabilities
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 <ul>
  <li>
   Works within Enterprise Data Management (EDM) / DART to create solutions and technology designs, develop standards, and build architecture runways, especially for Azure-based platforms using services like Azure Data Factory (ADF), Synapse, and Databricks.
  </li>
  <li>
   Works closely with Technology &amp; Architecture to ensure the solutions defined &amp; developed align with the agreed technology roadmaps, business capabilities, technology strategy and are implemented as designed.
  </li>
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   Ensures solution and technology architecture standards, governance and principles are implemented effectively using the Etihad Architecture Frameworks and Tools.
  </li>
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   Develops the design and implementation of solution architecture as part of both agile and waterfall delivery, enabling innovation, cost efficiency, strategy alignment and speed to market.
  </li>
  <li>
   Ensures solution and technology architecture assets that are developed for Value Streams are aligned to the DTI strategy and are compliant with the enterprise&rsquo;s future state architecture.
  </li>
  <li>
   Responsible for developing emergent design, intentional design, model driven design, solution context and solution design that meets the business requirements, strategy and vision, standards and principles.
  </li>
  <li>
   Provides consultation to the product and project delivery teams, identifying ways to apply new or existing technologies to support business initiatives, innovation, facilitating the reuse of ideas, components, services, and proven patterns.
  </li>
  <li>
   Defines and develops solution &amp; technology architecture value accelerators, patterns, standards, enablers and digital technology transformation within EDM / DART to ensure alignment with enterprise-wide architecture.
   <br/>
   <br/>
  </li>
 </ul>
 Education &amp; Experience
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 <br/>
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 <ul>
  <li>
   Solution architecture and technology expertise with a minimum of 7 years of experience in complex IT architecture environments. Airline industry experience strongly desirable.
  </li>
  <li>
   Track record of delivering architecture solutions for data warehouse, big data, business intelligence and data science initiatives.
  </li>
  <li>
   Hands-on data modelling experience; familiarity with airline data (e.g. PNR, TKT, etc.) strongly desirable.
  </li>
  <li>
   Strong practical knowledge and experience of concepts such as data lineage, data quality, data lifecycle management, reference data management, metadata management.
  </li>
  <li>
   Hands-on experience in building and managing data platforms using services like Azure Data Factory (ADF), Databricks, Synapse, and Cosmos DB, with expertise in building data pipelines and data lakes.
  </li>
  <li>
   Familiarity with data security and data privacy concepts and concerns.
  </li>
  <li>
   Bachelor&rsquo;s degree in Computer Science or related degree is desirable. One or more Certification in Solution and/or Enterprise Architecture mandatory &ndash; e.g. TOGAF, SAFe Architect, Open Certified Architect, ISEB Architecture, UML or ArchiMate
  </li>
  <li>
   Experience in seeking the alignment of business and IT, driving common approaches, delivering sustainable, re-usable solutions using both agile and waterfall.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Etihad Airways
  <br/>
  <br/>
 </strong>
 Etihad Airways, the national airline of the UAE, was formed in 2003 and quickly went on to become one of the world&rsquo;s leading airlines. From its home in Abu Dhabi, Etihad flies to passenger and cargo destinations in the Middle East, Africa, Europe, Asia, Australia and North America. Together with Etihad&rsquo;s codeshare partners, Etihad&rsquo;s network offers access to hundreds of international destinations. In recent years, Etihad has received numerous awards for its superior service and products, cargo offering, loyalty programme and more. All this ties into Etihad&rsquo;s ambitious Journey 2030 strategy. The airline plans to double its fleet size and triple the number of customers over the next six years as it sets out to be the airline everyone wants to fly!
 <br/>
 <br/>
 To learn more, visit etihad.com
 <br/>
 <br/>
 <strong>
  Recruitment Fraud Alert
  <br/>
  <br/>
 </strong>
 Beware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.
</div>


NST - Nova Source Technologies

<div>
 <p>
  Data &amp; AI Solutions Architect &ndash; Pre-Sales, CRM/ERP, Cloud Applications, Azure Data Analytics, AI, MLOps, Data Lakes, Containerisation, Microservices, API, TOGAF, Abu Dhabi (UAE)
 </p>
 <p>
  <br/>
 </p>
 <p>
  Very Attractive Salary + Benefits
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a fantastic Data &amp; AI Solutions Architect opportunity to work with a leading technology services organisation, driving regional technical advisory and pre-sales initiatives for critical customer Applications and Data/AI solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Data &amp; AI Solutions Architect is an onsite working role, based in Abu Dhabi, UAE, with some flexibility to work remotely. Relocation considered for this role.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As a Data &amp; AI Solutions Architect, you will collaborate with clients to drive large-scale digital transformation initiatives across applications, data platforms, and AI solutions. In your role as a Data &amp; AI Solutions Architect, you will design end-to-end solution architectures, define cloud modernisation strategies, and integrate enterprise and SaaS systems&mdash;particularly Oracle, CRM, and ERP platforms&mdash;while leveraging Azure-native services for analytics, AI, and data management. The Data &amp; AI Solutions Architect will lead executive and technical workshops, shape proposals and RFP responses, and provide trusted guidance to stakeholders. As a Data &amp; AI Solutions Architect, you will draw on your proven delivery experience, strong background in application modernisation, APIs, containers, microservices, and event-driven architectures, and certifications in enterprise architecture or cloud solutions to ensure scalable, governed, and value-driven outcomes.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Skills as Data &amp; AI Solutions Architect:
  </strong>
 </p>
 <ul>
  <li>
   Extensive experience in enterprise application architecture, cloud modernisation, and digital transformation.
  </li>
  <li>
   Expertise in SaaS and enterprise system integration (Oracle, CRM, ERP) across hybrid and cloud environments.
  </li>
  <li>
   Strong knowledge of Azure services, including PaaS, serverless, analytics, and AI/ML frameworks.
  </li>
  <li>
   Hands-on experience with APIs, microservices, containers, Kubernetes, and event-driven architectures.
  </li>
  <li>
   Proven pre-sales and consulting skills, leading executive workshops, proposals, and RFP responses.
  </li>
  <li>
   Familiarity with enterprise architecture frameworks (e.g., TOGAF) and relevant cloud certifications.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  This is an exceptional Data &amp; AI Solutions Architect opportunity, leading transformative cloud, AI, and application initiatives, shaping strategic solutions for top regional enterprises.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Skills: Pre-Sales, CRM/ERP, Cloud Applications, Azure Data Analytics, AI, MLOps, Data Lakes, Containerisation, Microservices, API, TOGAF, Abu Dhabi (UAE)
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   *PLEASE READ BEFORE APPLYING*
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  You must have enterprise architecture and cloud modernisation experience, with strong pre-sales and executive engagement skills. You must also be able and willing to work onsite in Abu Dhabi, UAE. Relocation is considered for this role.
 </p>
</div>


Data & AI Solutions Architect - Abu Dhabi, UAE

DICETEK LLC

<div><p>Key Responsibilities:
</p><ul><li>Analyze and interpret large datasets to generate actionable insights for business stakeholders.</li><li>
Design, develop and maintain conceptual and physical data model for both on-premise and cloud database environments.</li><li>
Collaborate with Data Engineers, Architects and Business analysts to ensure proper implementation of data models in data warehouses, lakes, or marts.</li><li>
Map business requirements to data sources and identify data gaps or redundancies.</li><li>
Perform data profiling, validation and quality assessments.</li><li>
Support ETL/ELT processes and integration of multiple data sources</li><li>
Document data definitions, lineage and metadata to ensure consistencies and governance.</li></ul><p>
</p><p>Required Skills and Qualifications:</p><ul><li>
5+ years of experience in data analysis and data modeling.</li><li>
Strong proficiency in SQL for querying, profiling and validation.</li><li>
Hands-on experience with data modeling tools and exposure to on-premise databases and Cloud databases.</li><li>
Familiarity with ETL/ELT processes, data pipelines and cloud data platforms.</li><li>
Strong analytical, problem solving and communication skills.</li></ul><p>
</p><p>Nice-to-have:</p><ul><li>
Knowledge of data governance, cataloging or lineage tools.</li><li>
Experience in cloud data migration or hybrid data environments.</li><li>
Understanding of business domain data models.</li></ul></div><p></p>

Data Engineer

Insight

<div>
 <p>
  <strong>
   Application, Data &amp; AI Solutions Architect &ndash; Pre-Sales
  </strong>
 </p>
 <p>
  Abu Dhabi, UAE
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About Us
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Insight is a Fortune 500 global systems integrator helping organisations transform through modernisation of applications, data, platforms, and operating models. We partner with major global enterprises to architect and deliver forward-looking digital solutions across cloud, SaaS, and hybrid environments, enabling innovation at scale.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Position Summary
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  As a Senior Application, Data &amp; AI Solutions Architect, you will serve as the strategic technical lead in pre-sales engagements, guiding clients through large-scale transformation across application portfolios, data platforms, and AI enablement. Drawing on your deep delivery background and enterprise architecture expertise, you will translate business objectives into solution designs that span SaaS integration, cloud application modernisation, CRM/ERP workloads (e.g., Oracle), and data analytics ecosystems on Azure.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role requires a proven record of designing and shaping complex enterprise application architectures, enabling cloud-native modernisation, and influencing senior business and technology stakeholders. You will work closely with client executives, delivery leaders, and partner ecosystems to shape and secure strategic transformation programs.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Primary Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Lead strategic consulting conversations, identifying transformation opportunities across application portfolios, data platforms, and AI/automation strategy.
  </li>
  <li>
   Translate business and technology requirements into end-to-end solution architectures, including reference models, migration patterns, and capability roadmaps.
  </li>
  <li>
   Architect application modernisation solutions including re-platforming, containerisation, microservices, API enablement, and event-driven patterns.
  </li>
  <li>
   Design data and AI architectures including data lakes, MLOps frameworks, and analytics platforms leveraging Azure-native services.
  </li>
  <li>
   Integrate SaaS and enterprise systems (e.g., Oracle, CRM, ERP platforms), ensuring interoperability, governance, and security alignment.
  </li>
  <li>
   Develop solution proposals, RFP responses, estimates, and Statements of Work in collaboration with pursuit and delivery teams.
  </li>
  <li>
   Lead executive and technical workshops to shape strategic outcomes and drive solution direction.
  </li>
  <li>
   Apply enterprise architecture frameworks (TOGAF or equivalent) to ensure scalable, governed, and value-aligned solution design.
  </li>
  <li>
   Act as a trusted advisor from early engagement through deal closure, ensuring feasibility, clarity, and delivery confidence.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications &amp; Experience
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Extensive across solution architecture, application modernisation, or cloud transformation roles, ideally within global system integrators or large enterprise consulting environments.
  </li>
  <li>
   Proven delivery background before moving into pre-sales, able to demonstrate real-world implementation understanding.
  </li>
  <li>
   Strong experience designing application modernisation and integration architectures, including APIs, containers, Kubernetes, and event-driven patterns.
  </li>
  <li>
   Experience with Azure application and data services, including PaaS, serverless, databases, analytics, and AI toolchains.
  </li>
  <li>
   Track record in complex SaaS/enterprise system integration, particularly Oracle, CRM/ERP, and industry platforms.
  </li>
  <li>
   Demonstrated success in shaping and winning large-scale transformation programs.
  </li>
  <li>
   Exceptional communication and stakeholder management skills, comfortable engaging both C-level stakeholders and senior technical audiences.
  </li>
  <li>
   Enterprise architecture certification (e.g., TOGAF) strongly preferred.
  </li>
  <li>
   Azure Solution Architect Expert or equivalent cloud certification advantageous.
  </li>
 </ul>
</div>


Solutions Architect

Visionary Tech Services LLC

<div><p>Join our team at Visionary Tech Services (VTS), a fast-growing AI Services &amp; Consultancy company, that'ssolving critical business problems for top-tier clients in theregion's most important industries.</p><p>
If you&rsquo;re passionate about applying data science, machinelearning, statistics, and real-world experimentation tosolve meaningful business problems, this role is for you.</p><p>
The Lead Data Scientist will spearhead the design,development, and deployment of advanced AI andmachine learning solutions at VTS. You will lead a team ofdata scientists coordinate cross-functional efforts, andensure the technical excellence and business impact ofdata science projects. As a key technical advisor, you willinterface with clients and stakeholders to drive innovationand align solutions with strategic objectives.</p><p><b>
Requirements</b></p><ul>
<li>
8+ years of extensive experience in data science, with atleast 3 years in leadership or senior roles.</li>
<li>Prior experience in pre-sales: proposal writing, estimation, and risk registers.</li>
<li>Significant background in AI consulting services, leading projects and teams for clients across industries like oil &amp;gas, telecom, health, construction, finance, banking, technology, real estate, media, etc.</li>
<li>Expertise in strategic project management, MLOps implementation, and mentoring junior data scientists inhigh-impact consulting engagements.</li>
<li>Strong experience in Agile/Scrum environments and cross-functional coordination.</li>
<li>Recognized contributions to open-source, research publications, conference talks, or leadership in analytics communities are highly valued.</li>
<li>Lead end-to-end development and deployment of complex machine learning models and AI systems for client projects.</li>
<li>Define model architecture, best practices, and maintain high code quality and MLOps governance in data science workflows.</li>
<li>Manage cross-functional collaboration between data science, software engineering, product, and business teams to ensure seamless project execution.</li>
<li>Mentor and coach junior and senior data scientists, providing guidance on methodologies, code reviews, and professional development.</li>
<li>Identify new opportunities for applying data science within client engagements and advise on feasibility and impact.</li>
<li>Serve as a technical advisor to clients and executive stakeholders, communicating complex concepts in a clear, business-oriented manner.</li>
<li>Ensure that all solutions are scalable, maintainable, and aligned with broader strategic business objectives.</li></ul></div>

Lead Data Scientist

Quantum One | Q One

<div>
 <p>
  <strong>
   <em>
    About Us
   </em>
  </strong>
 </p>
 <p>
  <strong>
   Quantum One
  </strong>
  is a leading AI solutions provider in UAE. Our firm was founded by a group of professionals from McKinsey &amp; Company and BCG. We focus on integrating advanced AI capabilities with strategic business insight to deliver measurable impact across various sectors.
 </p>
 <p>
  We&rsquo;re looking for a highly skilled and motivated
  <strong>
   Data Scientist
  </strong>
  to join our Abu Dhabi team. This role offers the opportunity to work on mission-critical projects with the UAE's largest organizations, supported by relocation assistance.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Our Offer &amp; Your Growth
   </em>
  </strong>
 </p>
 <p>
  We are committed to investing in our talent. Quantum One provides a competitive compensation package and clear career progression paths with opportunities for rapid advancement.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Core Responsibilities
   </em>
  </strong>
 </p>
 <p>
  As a Data Scientist, you will be instrumental in the execution and delivery in key areas:
 </p>
 <ul>
  <li>
   Strategic Implementation: Apply Machine Learning and Operations Research methodologies to solve complex problems for major UAE companies across diverse industries.
  </li>
  <li>
   Product Development: Design, develop, and deploy standalone AI products and enterprise solutions from initial concept through to production.
  </li>
  <li>
   Technical Excellence: Ensure the robust and scalable implementation of all AI models and systems.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Required Qualifications
   </em>
  </strong>
 </p>
 <p>
  We are looking for a candidate who meets the following criteria and is prepared to excel in a high-performance environment.
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Experience:
   </strong>
   A minimum of 5 years of professional experience in a Data Scientist or similar quantitative role.
  </li>
  <li>
   <strong>
    Language Proficiency:
   </strong>
   Fluent English is mandatory for effective communication with our international team and clientele.
  </li>
  <li>
   <strong>
    Technical Foundation:
   </strong>
   Demonstrated expertise across the following core stack: Python, Git, Docker/Kubernetes, Postgres (or similar RDBMS/NoSQL), and experience with at least one major Cloud Platform (Azure, AWS, or GCP).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Machine Learning Expertise:
  </strong>
 </p>
 <ul>
  <li>
   Data Analysis &amp; Modeling: Pandas, NumPy, scikit-learn, and advanced boosting techniques (CatBoost, LightGBM).
  </li>
  <li>
   Model Interpretation: Experience utilizing tools like SHAP for model explainability.
  </li>
  <li>
   Visualization: Proficient use of libraries such as Matplotlib and Seaborn.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Advanced AI Systems (Highly Valued):
  </strong>
 </p>
 <p>
  Practical experience with Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) frameworks, including:
 </p>
 <ul>
  <li>
   Frameworks: LangChain.
  </li>
  <li>
   Models &amp; Ecosystems: Working knowledge of models like Llama and Qwen, and utilizing the Hugging Face and OpenAI/ChatGPT ecosystems.
  </li>
 </ul>
 <p>
 </p>
</div>


Explore 599+ Data architect in Abu Dhabi this November. Find roles across top companies and apply now to boost your career.

599 data architect jobs IN Abu Dhabi

Data Architect

Data Architect

Data & AI Solutions Architect - Abu Dhabi, UAE

Data Engineer

Solutions Architect

Lead Data Scientist

Lead Data Scientist