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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
 <br/>
 <br/>
 <br/>
 <br/>
 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
 <br/>
 <br/>
 Accountabilities
 <br/>
 <br/>
 <br/>
 <br/>
 <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>
  <li>
   Ensures solution and technology architecture standards, governance and principles are implemented effectively using the Etihad Architecture Frameworks and Tools.
  </li>
  <li>
   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
 <br/>
 <br/>
 <br/>
 <br/>
 <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>


MAIR Group

<div>
 <p>
  <strong>
   Roles &amp; Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Mair Group is a young, high growth, Strategic investment group focusing on food security, retail and real estate. Founded by the consolidation of historic retail Co-operatives of Abu Dhabi, Al Ain, Al Dhafra and Delma. Also under the group is Makani, the Real Estate company focusing on development and managing regional and community malls. Listed on ADX in December 2024 but still with majority Emirati family shareholding.
 </p>
 <p>
  The portfolio presently consists of 120+ retail stores and 12 Shopping centres. We have capital to expand retail and mall portfolio.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical Expertise:
  </strong>
 </p>
 <ul>
  <li>
   Deep understanding of modern DWH architectures and cloud-native data platforms.
  </li>
  <li>
   Ability to design and implement robust, scalable, and secure data solutions on AWS.
  </li>
  <li>
   Strong grasp of data modeling, ETL/ELT processes, and real-time data streaming.
  </li>
  <li>
   Experience with data governance, metadata management, and data quality frameworks.
  </li>
 </ul>
 <p>
  <strong>
   Leadership &amp; Collaboration:
  </strong>
 </p>
 <ul>
  <li>
   Proven ability to lead cross-functional teams and mentor junior engineers.
  </li>
  <li>
   Strong stakeholder management skills, with the ability to translate business requirements into technical solutions.
  </li>
  <li>
   Experience working in Agile environments and collaborating with product, engineering, and analytics teams.
  </li>
 </ul>
 <p>
  <strong>
   Soft Skills:
  </strong>
 </p>
 <ul>
  <li>
   Excellent communication and presentation skills.
  </li>
  <li>
   Analytical mindset with a problem-solving attitude.
  </li>
  <li>
   Passion for innovation and continuous learning in the data space.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   For AM and Consultant
  </strong>
  : Experienced data engineering professional with strong expertise in Data Lake development and optimization, ETL/ELT processes, and data integration. Proficient in Snowflake, SQL, and data modeling, with hands-on experience in performance tuning and project delivery. Skilled in building scalable data pipelines and managing end-to-end data workflows using modern cloud platforms and tools.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Desired Candidate Profile
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, Data Engineering, or a related field.
  </li>
 </ul>
 <p>
  <strong>
   Experience:
  </strong>
 </p>
 <ul>
  <li>
   10+ years of experience in Data Warehousing (DWH), with deep hands-on expertise in architecture, design, and implementation.
  </li>
  <li>
   Proven experience in Retail and E-commerce domains, with a strong understanding of business processes and data flows.
  </li>
  <li>
   5+ years of experience working with AWS cloud platforms, including services like S3, Redshift, Glue, Lambda, and Kinesis.
  </li>
  <li>
   Strong development experience with Snowflake, including performance tuning, data modeling, and advanced SQL.
  </li>
  <li>
   Hands-on experience in building scalable data pipelines using tools such as Apache Kafka, AWS Kinesis, and AWS Glue.
  </li>
  <li>
   Proficiency in SQL, Python, and PySpark for data transformation and analytics.
  </li>
  <li>
   Familiarity with CORTEX or similar data orchestration and governance platforms.
  </li>
 </ul>
 <p>
  <strong>
   Certifications (Preferred):
  </strong>
 </p>
 <ul>
  <li>
   AWS Certified Data Analytics &ndash; Specialty
  </li>
  <li>
   Snowflake SnowPro Certification
  </li>
 </ul>
 <p>
 </p>
</div>


Data Engineer - Senior Architect / AM / Consultant

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

DICETEK LLC

<div><p>As a Data Integration &amp; Architecture Specialist, you will be a pivotal member of our data engineering and architecture team. You will play a crucial role in designing, implementing, and optimizing data integration solutions using data warehouse technologies. This position demands a strong understanding of Azure and Data warehouse solutions, data architecture principles, and the ability to design and administer robust data ecosystems.
</p><p><b>Primary skills:
</b></p><ul><li>Azure, Delta Lake, Data Factory, DataBricks, Python/PySpark
</li><li>SAS DWH<br>
</li></ul><p></p><br>
<ul><li>Bachelor's or master&rsquo;s degree in computer science, Information Technology, or a related field.
</li><li>Should have at least 4 years of experience in data engineering.
</li><li>Should possess at least 3 years of UAE banking experience.
</li><li>Candidates with Azure data products and data warehouse experience will be preferred
</li><li>Strong understanding of data warehousing concepts, ETL processes, and data governance.
</li><li>Knowledge of SQL for data manipulation and querying.
</li><li>Excellent problem-solving and troubleshooting skills.
</li><li>Strong communication and collaboration skills.
</li></ul><p><b>Certifications (Preferred):
</b></p><ul><li>Certified Data Integration Developer
</li><li>Azure Data Engineering Associate</li></ul></div><p></p>

Azure Data (warehouse) Engineer

Robusta

<div><p><b>About the Role</b><br>
The <b>UX Architect</b> defines and optimizes the structure, flow, and interaction models of complex digital products. You&rsquo;ll translate advanced capabilities into intuitive, scalable experiences while balancing usability, performance, and trust.</p><p><b>
Key Responsibilities</b></p><ul>
<li>
Define and document information architecture, interaction flows, and navigation models.
</li><li>Develop frameworks for decision transparency, error recovery, and consistent interaction models.
</li><li>Create scalable system design frameworks that support cross-platform experiences (web, mobile, conversational).
</li><li>Produce detailed wireframes, journey maps, and prototypes to illustrate end-to-end workflows.
</li><li>Establish UX guidelines and best practices for integrating predictive insights and automation.
</li><li>Conduct architecture-level testing (navigation validation, workflow evaluations).
</li><li>Ensure designs meet accessibility and inclusivity standards.
</li><li>Maintain UX documentation, design libraries, and pattern repositories for reuse across teams.</li>
</ul><p><b>
Requirements</b></p><ul>
<li>
5+ years of experience as a UX Architect, UX Designer, or Information Architect.
</li><li>Strong understanding of complex system design, IA, and interaction design principles.
</li><li>Experience creating UX architecture documentation and reusable frameworks.
</li><li>Skilled in tools such as Figma, Axure, Miro, or similar.
</li><li>Proven ability to collaborate with cross-functional teams and translate business needs into user flows.
</li></ul><p><b>Nice to Have</b></p><ul>
<li>
Experience with data visualization or AI-driven interfaces.
</li><li>Familiarity with WCAG accessibility standards.</li></ul></div>

UX Architect - Product Development (3 Months Contract )- Octopus by RTG

Acenet consulting

<p><b>About Us:</b><br/>AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking &amp; financial services, healthcare, supply chain &amp; logistics, consumer retail, manufacturing, eGovernance and other industry sectors.<br/>We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you&rsquo;re passionate about technology and thrive in a fast-paced environment, we want to hear from you.</p><p><b>Role Summary</b></p><p>We are seeking a highly experienced and technically strong Azure Technical Architect who will lead the design and implementation of enterprise cloud infrastructure and begin to integrate AI/ML capabilities. This role will require deep hands-on experience with infrastructure (on-prem/VMs/hybrid), extensive Azure cloud architectural experience, and a working knowledge of machine learning and AI so that you can partner with data science/ML teams and enable next-gen capabilities.</p><p><b>Key Responsibilities</b></p><ul><li>Define and drive the technical architecture for Azure cloud (IaaS, PaaS, hybrid) infrastructure, ensuring alignment with business objectives, scalability, security, costoptimisation, reliability and operational excellence.</li><li>Lead design and deployment of Azure Landing Zones / enterprise cloud adoption frameworks and reference architectures (governance, subscriptions, management groups, identity, networking).</li><li>Hands-on design and implementation of infrastructure including compute (VMs, VM scale sets, containers/AKS), storage, databases, networking (VNet, peering, VPN/ExpressRoute, firewall, load balancers), identity &amp; access (Azure AD, RBAC, managed identities), hybrid connectivity.</li><li>Build and own Infrastructure as Code (IaC) modules/templates (e.g., Terraform, ARM, Bicep), CI/CD pipelines for infrastructure provisioning and deployments.</li><li>Lead and execute cloud migration strategies (on-prem &rarr; Azure, legacy workloads &rarr; cloud native), uplift existing systems, modernise infra, containerise where appropriate.</li><li>Ensure cloud security and compliance: enforce Azure best-practices, implement monitoring/logging (Azure Monitor, Log Analytics), guard-rails, cost governance, disaster recovery/business continuity, encryption, network segmentation.</li><li>AI/ML Integration: Work with data science/ML teams to architect and enable infrastructure and cloud services for ML/AI workloads&mdash;this includes responsible for enabling compute/data pipelines, containerisation, MLOps readiness, Azure ML, etc.</li><li>Provide technical leadership, mentoring and guidance to engineers, drive technical decision-making, perform architecture reviews, evaluate vendor/technology options.</li><li>Engage with stakeholders (business, IT leadership, external vendors) to understand requirements, create solution proposals, define technical roadmaps, present architecture, drive buy-in.</li><li>Establish and maintain architectural standards, patterns, reusable components, documentation (HLD/LLD, runbooks) and ensure their adoption.</li><li>Monitor and optimise Azure environment performance, cost, scalability and reliability over time &mdash; propose continuous improvement initiatives.</li><li>Stay current with emerging AI/ML trends and Azure services so you can guide future integration of AI capabilities into infrastructure/cloud platforms.</li></ul><p><b>Required Skills &amp; Experience</b></p><ul><li>10-15 years of total IT experience, with a strong technical focus and hands-on background in infrastructure, cloud, and architecture roles.</li><li>Deep practical experience with Microsoft Azure: IaaS, PaaS, containers (AKS), storage, databases, networking, identity &amp; access. (Design + implementation)</li><li>Strong infrastructure background: on-prem compute/virtualisation (VMware/HyperV), networking (TCP/IP, routing, firewalls), storage, hybrid connectivity.</li><li>Proven experience in designing and deploying cloud architectures (including hybrid/multi-cloud) for enterprise scale (large environments, many subscriptions, complex connectivity).</li><li>Proficiency with Infrastructure as Code (IaC) tools such as Terraform, ARM templates or Bicep &mdash; creating reusable modules and automating deployments.</li><li>Experience in DevOps / CI-CD / automation for infrastructure provisioning and integration with application delivery.</li><li>Strong skills in cloud networking (VNets, peering, VPN, ExpressRoute, NSG/ASG, firewalls), identity &amp; security (Azure AD, RBAC, managed identities, Key Vault) and governance (subscriptions, management groups, cost controls).</li><li>Basic AI/ML knowledge: Familiarity with machine learning fundamentals (supervised/unsupervised, feature engineering, model deployment concepts), and exposure to Azure ML or other equivalent services; able to collaborate with data/ML teams to enable infrastructure for ML.</li><li>Good communication and presentation skills &mdash; able to engage with senior stakeholders and translate business needs into technical architecture.</li><li>Proven track record of leading/mentoring technical teams, driving adoption of architecture and standards.</li><li>Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert (or equivalent) strongly preferred</li></ul><p><b>Why Join Us:</b></p><ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: AED350,000.00 - AED450,000.00 per year</p><p>License/Certification:</p><ul><li>Azure Solutions Architect Expert certification (Preferred)</li></ul>

Azure Technical Architect with AI-ML Knowledge

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758 data architect jobs IN Room Dining Jobs In Revit Jobs In Revit Jobs In Nursing Jobs In Abu Dhabi United Arab Emirates

Data Architect

Data Architect

Data Engineer - Senior Architect / AM / Consultant

Lead Data Scientist

Azure Data (warehouse) Engineer

UX Architect - Product Development (3 Months Contract )- Octopus by RTG

Azure Technical Architect with AI-ML Knowledge