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Avanza Solutions

As a Data Architect for Data,&#8239;you are passionate about data and technology solutions and are driven to learn about them and keep up with market evolution. You will play an active role in delivering modern data solutions for clients including data ingestion/data pipeline design and implementation, data warehouse &amp; data lake architectures, cognitive computing and cloud services. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.&#8239;In this role you will be helping to grow the Rackspace data practice in Southeast Asia. You will be the expert in the region and support the delivery of our data projects on Azure. As the local expert you&rsquo;ll be involved in presenting to customers at events and promoting our capabilities to Azure. With a large Azure data team of over 150 people in the region it is also an opportunity to mentor and shape the data practice during our growth phase.More generally, Data Architect are the cornerstone of our delivery success, overseeing our most strategic accounts. They are empowered to make key delivery decisions and work closely with technical resources as well as our Engagement/Project Managers to ensure our customers experience successful outcomes.The Data Architect needs to understand client's business and technology requirements within their domain, identify gaps, areas of opportunity, and design future state improvements and lead the team of data engineers and data analysts to deliver these with high quality and customer satisfaction.Key Requirements:&middot; 12+ years' experience leading engagements from design to implementation of creative data solutions leveraging the latest in Spark based modern data platforms on public cloud&middot; At least 5 full lifecycle data platform deployments on Azure using first party services for Data and Analytics.&middot; Extensive experience with following technologies: Azure Data Factory, Azure Synapse Analytics, Azure Databricks,&middot; Extensive experience of Azure foundation and cloud engineering concepts including network, security, cost estimation, common IaaS and PaaS services and monitoring.&middot; Strong Spark, SQL, Data Modeling, Data lakehouse concepts.&middot; Programming / scripting experience using python and scala.&middot; 6+ years' experience architecting solutions for optimal extraction, transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured, unstructured, and semi-structured using SQL, NoSQL and data pipelines for real-time, streaming, batch and on-demand workloads&middot; 4+ years' experience with analytics/data management strategy formulation, architectural blueprinting and effort estimation of analytics&middot; 5+ years working in cloud or multi-server complex environments. Extensive experience with Azure is required.&middot; Ability to simplify complex technical concepts into an easy-to-understand non-technical language to facilitate, communicate and interact with executives and business stakeholders&middot; Ability to deal with ambiguity by making the appropriate decisions considering the relative costs and benefits of potential actions.&middot; Experience with Agile development methods in data-oriented projects&middot; Experience with Dashboarding and Reporting Tools used in the industry (Tableau, Power BI, Qlik, etc.)&middot; Certifications in architecture, data engineering and development from Azure is preferred&middot; Knowledge of software configuration management environments and tools such as JIRA, Git, Jenkins, TFS, Shell, PowerShell, Bitbucket.Data Specialization:&middot; Lead, define and implement end-to-end modern data platforms on public cloud using 1st party services in support of analytics and AI use cases&middot; Collaborate with enterprise architects, data architects, ETL developers &amp; engineers, data scientists, and information designers to lead identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities&middot; Address aspects such as data privacy &amp; security, data ingestion &amp; processing, data storage &amp; compute, analytical &amp; operational consumption, data modeling, data virtualization, self-service data preparation &amp; analytics, AI enablement, and API integrations&middot; Be the technical liaison between customers and engineering teams&middot; Be a big data evangelist by educating a variety of customers on the value of cloud and data services&middot; Ensure solutions are optimized for Azure&rsquo;s ecosystem, utilizing services such as Azure Functions, Logic Apps, and Event Hubs.&middot; Leverage Infrastructure-as-Code (IaC) tools like Terraform or Azure Resource Manager (ARM) for cloud resource management.&middot; Implement enterprise-grade security solutions using Azure Security Center, Azure Policy, and Azure Key Vault.&middot; Enforce data governance policies, including encryption standards, role-based access control (RBAC), and regulatory compliance (e.g., GDPR, HIPAA).&middot; Conduct risk assessments and remediate vulnerabilities across the Azure environment.&middot; Lead capacity planning and disaster recovery strategies to ensure uptime and business continuity.&middot; Partner with security teams to proactively remediate vulnerabilities and enforce role-based access control (RBAC).&middot; Act as a trusted advisor to clients, providing technical guidance on architecture improvements, cost optimizations, and emerging Azure features.&middot; Deliver detailed operational reports and improvement plans, ensuring continuous service enhancement.General Consultancy:&middot; Present recommendations to clients using both written deliverables and face-to-face discussions&middot; Develop deep relationships with clients and act as the single point of contact for client executives on data engagements&middot; Directly collaborate with the sales team to formulate and execute a sales strategy to facilitate the adoption of Azure data offerings.&middot; Lead the professional services elements of relevant data proposals and RFP/RFI responses, including scope, effort, pricing models and SOW development.&middot; Guide customers during big data and cloud adoption by:<ul><li>Understanding drivers of technology change</li><li>Building business cases to undertake technology change</li><li>Lead discovery sessions with stakeholders, including interviews, document analysis, requirements workshops, surveys, client on-site visits, business process descriptions, use cases, scenarios, and data analysis for technology change</li><li>Identify gaps in customer maturity and capabilities in relation to their data strategy.</li><li>Identify areas of opportunity, and recommend future state improvements</li><li>Work with Engagement / Project Managers to plan the delivery of data projects, including budget, delivery resources, partner engagement, schedules and responsibilities.</li><li>Accountable for the successful outcome of data and related engagements from both a delivery (schedule, deliverables etc.) and commercial (revenue realization, budget etc.) perspective.</li><li>Lead the effort to find creative approaches to problem solving and identify, mitigate, or escalate delivery risks and issues.</li></ul>Certifications:&middot; Microsoft Certified: Azure Solutions Architect Expert (preferred).&middot; Microsoft Certified: Azure Security Engineer Associate (preferred).Preferred Skills:&middot; Experience with hybrid and multi-cloud environments.&middot; Knowledge of DevOps principles and CI/CD tools such as Azure DevOps or GitHub Actions.Familiarity with advanced analytics, AI, and machine learning use cases on Azure.Job Type: Contract Contract length: 6 monthsPay: AED20,000.00 - AED24,000.00 per month

Data Architect

Majid Al Futtaim

<div>
 
 
 BUSINESS INTRODUCTION
 
 
 
 Majid Al Futtaim Holding is the leading shopping mall, retail, communities, entertainment developer and operator in the Middle East, North Africa, and Central Asia regions. With over 43,000 people, revenues of over US$ 11 Billion, and operations in 18 countries. Some of the iconic brands we carry include Mall of the Emirates, Carrefour, All Saints, Lego, City Center, Abercrombie &amp; Fitch, &amp; Vox Cinemas. We believe in making Great Moments for Everyone, Every day.
 
 
 
 
 
 
 JOB TITLE
 
 
 
 Data Architect | Majid Al Futtaim Properties
 
 
 
 
 
 
 ROLE SUMMARY
 
 
 
 The
 
 Data Architect
 
 will play a pivotal role in shaping the future of Majid Al Futtaim Asset Management&rsquo;s data landscape. This role is responsible for defining and aligning the data technology strategy, overseeing enterprise architecture, and designing a unified application and data ecosystem across the organization.
 
 
 
 
 
 
 ROLE PROFILE
 
 
 <ul>
 <li>
 Develop and communicate a clear, enterprise-wide technology strategy aligned with business and innovation goals.
 </li>
 <li>
 Evaluate digital maturity, identify capability gaps, and drive a transformation roadmap toward a fully digital operating model.
 </li>
 <li>
 Champion adoption of emerging technologies (AI, cloud, automation) to accelerate business performance.
 </li>
 <li>
 Establish and lead enterprise architecture covering data, applications, technology, and business processes.
 </li>
 <li>
 Guide cross-functional alignment through capability modeling, value stream mapping, and strategic scenario planning.
 </li>
 <li>
 Develop a unified data architecture and modelling framework to support scalable analytics and AI use cases.
 </li>
 <li>
 Lead the design and implementation of data governance frameworks, standards, and privacy policies.
 </li>
 <li>
 Ensure compliance with Majid Al Futtaim-wide data handling policies and regulatory requirements.
 </li>
 <li>
 Oversee development of modern, cloud-based data integration pipelines and infrastructure.
 </li>
 <li>
 Act as a strategic advisor to business teams, translating data needs into technical solutions.
 </li>
 <li>
 Support delivery of analytics and automation solutions that generate measurable impact.
 </li>
 </ul>
 
 
 
 
 
 REQUIREMENTS
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, Engineering, Business, or related discipline.
 </li>
 <li>
 10&ndash;12 years of experience in technology, data, or architecture leadership roles
 </li>
 <li>
 Minimum 4 years of direct experience in solution development (e.g., application architecture, middleware, data platforms).
 </li>
 <li>
 Strong understanding of modern technology ecosystems: SaaS, IaaS, PaaS, microservices, APIs, open data, SOA, event-driven architecture, and predictive analytics.
 </li>
 <li>
 Proficiency in data modeling, integration, governance, and quality management at scale.
 </li>
 <li>
 Exceptional communicator&mdash;able to translate complex technical topics for both technical and business stakeholders.
 </li>
 </ul>
 
 
 
 
 
 WHAT WE OFFER
 
 
 <ul>
 <li>
 At Majid Al Futtaim, we&rsquo;re on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We&rsquo;re proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us!
 </li>
 <li>
 Work in a friendly environment, where everyone shares positive vibes and excited about our future.
 </li>
 <li>
 Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.
 </li>
 </ul>
 
 
</div>

NorthBay Solutions

<div><h4 class="jobSectionHeader">Position Overview 
We are seeking an experienced AWS Data Architect to design and implement scalable cloud-based data solutions to support enterprise-wide analytics and FP&amp;A processes. This role is based on-site in the United Arab Emirates (UAE). Candidates currently outside the UAE must be flexible and willing to relocate. Short-term travel across the region may be required for critical project milestones and team collaborations.</h4><h3 class="jobSectionHeader">
Qualifications</h3>
Education:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related discipline.</li></ul>
Experience:<ul><li>
8+ years in Data Architecture, Data Engineering, or Cloud Architecture roles.</li><li>
Proven experience designing and deploying AWS Data Lake / Lakehouse architectures.</li><li>
Strong experience in enterprise-scale data integration and large data processing systems.</li><li>
Experience supporting FP&amp;A, analytics, BI, or enterprise reporting environments is a plus.</li></ul>
Technical Proficiency:<ul><li>
Hands-on expertise with AWS services: S3, Glue, Redshift, Lambda, Athena, EMR, Kinesis, Lake Formation, and related tools.</li><li>
Strong programming skills in Python and SQL.</li><li>
Deep knowledge of data modeling, schema design, warehousing concepts, and metadata management.</li><li>
Experience with BI tools such as Tableau, Power BI, or QuickSight.</li></ul>
Soft Skills:<ul><li>
Strong communication and stakeholder management skills.</li><li>
Analytical mindset with strong problem-solving abilities.</li><li>
Ability to work in a dynamic environment and adapt to evolving business needs.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
AWS certifications such as Solutions Architect, Data Analytics Specialty, or Database Specialty.</li><li>
Familiarity with Agile methodologies and tools like Jira.</li><li>
Experience implementing advanced data security and compliance best practices.</li></ul><h3 class="jobSectionHeader">
Key Responsibilities</h3>
AWS Data Architecture:<ul><li>
Design and implement scalable AWS Data Lake and modern data architecture solutions for large-scale data management and analytics.</li></ul>
Data Integration:<ul><li>
Build and maintain robust ETL/ELT pipelines using AWS-native tools and modern data engineering frameworks.</li><li>
Ensure data accuracy, consistency, and reliability across ingestion and transformation flows.</li></ul>
Support for FP&amp;A &amp; Analytics:<ul><li>
Develop data integration solutions to support FP&amp;A, financial reporting, forecasting, and enterprise decision-making processes.</li></ul>
Cloud Infrastructure Management:<ul><li>
Optimize AWS environments for performance, scalability, cost-efficiency, and automation.</li></ul>
Data Governance &amp; Security:<ul><li>
Implement and enforce best practices for data governance, data cataloging, lineage, security, IAM, and compliance across the Data Lake.</li></ul>
Collaboration &amp; Stakeholder Engagement:<ul><li>
Work closely with business analysts, data engineers, and analytics teams to deliver end-to-end data solutions aligned with business needs.</li></ul>
On-site Collaboration:<ul><li>
Participate in critical workshops, events, and team engagements as required within the UAE and across the region.</li></ul><h3 class="jobSectionHeader">
Why Join Us?</h3><ul><li>
Opportunity to work on high-impact AWS data architecture initiatives.</li><li>
Attractive salary and benefits.</li><li>
On-site role in the UAE with exposure to international teams and strategic projects.</li><li>
Career growth in a technology-driven, highly collaborative environment.</li></ul>
JDlv67ua7G</div>

AWS Data Architect (Data Lake & SAP)

Confluent

<div>We&rsquo;re not just building better tech. We&rsquo;re rewriting how data moves and what the world can do with it. With Confluent, data doesn&rsquo;t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.
It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.
One Confluent. One Team. One Data Streaming Platform.<h2 class="jobSectionHeader">
About the Role:</h2>
We are looking for a Senior Solutions Architect to join our Professional Services team in the Middle East. As a Senior Solutions Architect (SA), you will help customers leverage streaming architectures and applications to achieve their business results. In this role, you will interact directly with customers to provide software architecture, design, and operations expertise that leverages your deep knowledge of and experience in Apache Kafka, the Confluent platform, and complementary systems such as Hadoop, Spark, Storm, relational and NoSQL databases. You will develop and advocate best practices, gather and validate critical product feedback, and help customers overcome their operational challenges.
Throughout all these interactions, you will build a strong relationship with your customer in a very short space of time, ensuring exemplary delivery standards. You will also have the opportunity to help customers build state-of-the-art streaming data infrastructure, in partnership with colleagues who are widely recognized as industry leaders, as well as optimizing and debugging customers existing deployments. .<h2 class="jobSectionHeader">
What You Will Do:</h2><ul><li>
Helping a customer determine his/her platform and/or application strategy for moving to a more real-time, event-based business. Such engagements often involve remote preparation; presenting an onsite or remote workshop for the customer&rsquo;s architects, developers, and operations teams; investigating (with Engineering and other coworkers) solutions to difficult challenges; and writing a recommendations summary doc.</li><li>
Providing feedback to the Confluent Product and Engineering groups</li><li>
Building tooling for another team or the wider company to help us push our technical boundaries and improve our ability to deliver consistently with high quality</li><li>
Testing performance and functionality of new components developed by Engineering</li><li>
Writing or editing documentation and knowledge base articles, including reference architecture materials and design patterns based on customer experiencesHoning your skills, building applications, or trying out new product features</li><li>
Participating in community and industry events</li></ul><h2 class="jobSectionHeader">
What You Will Bring:</h2><ul><li>
6+ years of Professional Services Experience/Integration/Delivery experience</li><li>
Deep experience designing, building, and operating in-production Big Data, stream processing, and/or enterprise data integration solutions, ideally using Apache Kafka</li><li>
Demonstrated experience successfully managing multiple B2B infrastructure software development projects, including driving expansion, customer satisfaction, feature adoption, and retention</li><li>
Experience operating Linux (configure, tune, and troubleshoot both RedHat and Debian-based distributions)</li><li>
Experience using cloud providers (Amazon Web Services, Google Cloud, Microsoft Azure) for running high-throughput systems</li><li>
Experience with distributed systems (Kafka, Hadoop, Cassandra, etc.)</li><li>
Proficiency in Java or Python</li><li>
Excellent communication skills, with an ability to clearly and concisely explain tricky issues and complex solutions</li><li>
Ability to quickly learn new technologies</li><li>
Ability and willingness to travel to meet with customers</li></ul><h2 class="jobSectionHeader">
Ready to build what's next? Let&rsquo;s get in motion.</h2><h1 class="jobSectionHeader">
Come As You Are</h1>
Belonging isn&rsquo;t a perk here. It&rsquo;s the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what&rsquo;s possible.
We&rsquo;re proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.</div>

Senior Solutions Architect

Al Tayer Stocks - Building & Interior Divisions

<div>
 
 The primary goal is to be the architect of our internal data, responsible for collating historical data to assist in building data pipelines, ensuring data integrity across systems, and creating statistical models that help the business forecast market activity and identify risks. (optimize project schedules, and ensure the efficient delivery of internal systems).
 
 
 
 
 
 Essential roles and responsibilities
 
 :
 
 <ul>
 <li>
 Perform regression analysis on historical data to identify correlation between project size, location, and cost overruns.
 </li>
 <li>
 Analyze timesheet data to calculate accurate productivity rates for specific tasks to improve future estimation accuracy.
 </li>
 <li>
 Predictive Analytics: Use historical data to forecast potential "snagging" volume or equipment failure rates based on installation timelines.
 </li>
 <li>
 Analyse lead times for critical materials (joinery, marble, glazing) and MEP equipment to forecast potential project delays.
 </li>
 <li>
 Design, Develop and maintain automated Power BI/Tableau dashboards that visualize live project KPIs (Schedule Performance Index, Cost Performance Index) for stakeholders.
 </li>
 <li>
 Analyse data from snagging tools to identify the most common quality defects in fitout execution, allowing for better vendor management and training.
 </li>
 <li>
 Translate complex datasets into clear, visual reports for non-technical teams (Site &amp; Commercial Team).
 </li>
 </ul>
 
 
 
 
 
 Skills and Experience
 
 :
 
 <ul>
 <li>
 3- 5 years&rsquo; experience in a similar role within a reputable organization
 </li>
 <li>
 Degree in Data Science, Mathematics, Statistics, Economics or equivalent from a reputable University
 </li>
 </ul>
 
 
</div>

Data Analyst (UAE National)

Envision Employment Solutions

Envision Employment Solutions is currently looking for a Lead Data Scientist for one of our partners, a global leader in the IT Services and IT Consulting.
 
Requirements: 
<ul>
<li>Master’s or PhD in AI, Machine Learning, Computer Engineering, or Applied Math.</li>
<li>5+ years of experience in AI/ML strategy, leadership, and delivery.</li>
<li>Minimum of 12 years of experience is required</li>
<li>Proven ability to build and scale enterprise-level AI/LLM platforms.</li>
<li>Technical & Strategic Requirements</li>
<li>Strategic AI Leadership:</li>
<li>Defines and drives AI roadmaps aligned with corporate goals.</li>
<li>Oversees model lifecycle from experimentation to production.</li>
<li>LLM & NLP (Architect Level):</li>
<li>Designs LLM-based ecosystems with RAG pipelines, model orchestration, and fine-tuning strategies.</li>
<li>Leads fine-tuning or domain-specific pretraining using proprietary datasets.</li>
<li>Integrates Azure OpenAI, AWS Bedrock, Anthropic Claude, or Google Vertex AI into enterprise stacks.</li>
<li>Defines governance, compliance, and security standards for LLM deployments.</li>
<li>Oversees evaluation frameworks for hallucination rate, factual accuracy, and toxicity control.</li>
<li>Infrastructure & Governance:</li>
<li>Owns data governance policies, feature stores, and model observability infrastructure.</li>
<li>Collaborates with DevOps and Security to ensure scalability and resilience.</li>
<li>Team & Stakeholder Leadership:</li>
<li>Builds and manages multidisciplinary AI teams (Data Scientists, ML Engineers, Data Engineers).</li>
<li>Communicates directly with executive management and non-technical stakeholders.</li>
<li>Evaluates vendors and partnerships for AI acceleration.</li>
<li>Leadership Competencies</li>
<li>Visionary mindset driving innovation across business units.</li>
<li>Excellent executive communication and influence skills.</li>
<li>Focused on measurable ROI, scalability, and ethical AI.</li>
<li>Mentors senior scientists, defining best practices and research direction.</li>
</ul>

Lead Data Scientist

Envision Employment Solutions is currently looking for a Data Management Lead for one of our partners, a global leader in the IT Services and IT Consulting.
 
Job Summary: 
A Data Management Lead role is a cornerstone to the success of the data management team; he is the person with the most seniority in the team and he works closely with all team members. He helps the team to understand and execute their job effectively. He builds the team, mentors and guides them to the successful delivery of the assigned tasks.
 
Responsibilities: 
<ul>
<li>Lead the technical design and delivery of enterprise-grade data integration and DWH solutions.</li>
<li>Serve as the solution architect on data platform initiatives, ensuring scalable and maintainable architecture using Microsoft technologies.</li>
<li>Drive the data modeling process for both transactional and analytical systems, including star/snowflake schemas, normalization, and performance optimization.</li>
<li>Collaborate with business analysts, data scientists, and stakeholders to understand data requirements and translate them into robust technical solutions.</li>
<li>Oversee and mentor a team of developers and data engineers throughout the SDLC.</li>
<li>Conduct code reviews, enforce data governance policies, and ensure best practices are followed.</li>
<li>Present technical solutions and project updates to executive stakeholders, communicating clearly across technical and non-technical audiences.</li>
<li>Stay current with advancements in cloud data platforms and recommend continuous improvement opportunities.</li>
</ul>
Requirements: 
<ul>
<li>Bachelors or Masters degree in Computer Science, Information Systems, or a related field.</li>
<li>6+ years of experience in data integration and data management roles.</li>
<li>Expertise in data warehouse design and dimensional modeling.</li>
<li>Strong understanding of ETL/ELT frameworks, data pipelines, and data quality principles.</li>
<li>Solid understanding of solution architecture in cloud and hybrid environments.</li>
<li>Excellent presentation and communication skills able to deliver impactful presentations and clearly articulate complex concepts.</li>
<li>Must be an Arabic speaker.</li>
</ul>

Data Management Lead

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2474 data architect jobs IN Dubai Dha Licensed Jobs In Dubai

Data Architect

Data Architect

AWS Data Architect (Data Lake & SAP)

Senior Solutions Architect

Data Analyst (UAE National)

Lead Data Scientist

Data Management Lead