senior architect

data analyst

senior data scientist

architect

design manager

data architect

NorthBay Solutions

<div>Job Title: Senior Data Architect &ndash; AWS 
Location: Dubai, UAE (Onsite) 
Experience Required: 12+ Years 
Employment Type: Full-Time 
Work Mode: Onsite<h3 class="jobSectionHeader">
Job Summary</h3>
We are seeking a highly experienced Senior Data Architect with 12+ years of experience to design, build, and govern enterprise-scale AWS data platforms. The role is fully onsite in Dubai and requires strong hands-on architectural expertise across AWS data services, batch processing frameworks, orchestration, and data governance. The ideal candidate will lead data architecture strategy, mentor engineering teams, and ensure scalable, secure, and high-performing data solutions.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design and own end-to-end AWS data architecture for enterprise platforms</li><li>
Define data architecture standards, best practices, and reference models</li><li>
Architect batch and event-driven data pipelines using AWS native services</li><li>
Lead data ingestion, transformation, and orchestration workflows</li><li>
Design and implement solutions using AWS Glue, EMR, Lambda, and MWAA (Airflow)</li><li>
Architect data lakes and data warehouses using Amazon S3 and Amazon Redshift</li><li>
Design NoSQL data solutions using Amazon DynamoDB</li><li>
Implement data governance, metadata management, and access control using AWS DataZone</li><li>
Ensure monitoring, logging, and observability using Amazon CloudWatch</li><li>
Partner with engineering, analytics, and business teams to translate requirements into scalable data solutions</li><li>
Lead cloud migration and data modernization initiatives</li><li>
Ensure security, compliance, performance optimization, and cost efficiency</li><li>
Provide technical leadership, mentorship, and architecture reviews</li></ul><h3 class="jobSectionHeader">
Required Skills and Technologies</h3><ul><li>
AWS Glue (ETL, Data Catalog)</li><li>
Amazon EMR (Batch Processing)</li><li>
AWS Lambda (Serverless Data Processing)</li><li>
Amazon MWAA (Apache Airflow)</li><li>
Amazon EC2</li><li>
Amazon CloudWatch</li><li>
Amazon Redshift</li><li>
Amazon DynamoDB</li><li>
AWS DataZone</li><li>
Amazon S3 (Data Lakes)</li><li>
SQL (Advanced)</li><li>
Data Modeling (Dimensional, Relational, Lakehouse)</li><li>
AWS IAM, Security, Encryption, Networking</li><li>
Distributed Data Processing</li></ul><h3 class="jobSectionHeader">
Experience and Qualifications</h3><ul><li>
12+ years of experience in Data Engineering and Data Architecture</li><li>
Proven experience working as a Data Architect on large-scale AWS platforms</li><li>
Strong experience designing enterprise data lakes and data warehouses</li><li>
Hands-on experience with batch data processing and orchestration frameworks</li><li>
Excellent communication and stakeholder management skills</li><li>
Ability to work onsite in Dubai, UAE</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
AWS Certified Solutions Architect &ndash; Professional</li><li>
AWS Certified Data Analytics &ndash; Specialty</li><li>
Experience with enterprise data governance frameworks</li></ul>
ftAfhzaCsi</div>

Senior Data Architect (AWS Data Platforms)

<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

The Emirates Group

KEY RESULT AREAS: 
1. Lead the end-to-end design and implementation of enterprise-grade applications (web, mobile, Application Programming Interface(API)-first
 
platforms) to ensure that modularity, reusability and security are in line with enterprise architecture guidelines.
 
2. Contribute to the evaluation and selection of scalable technology stacks aligned with business goals, leveraging modern paradigms like
 
microservices, containers and serverless components.
 
3. Ensure application performance, scalability and observability by implementing high availability strategies and designing API integration
 
patterns that align with enterprise architecture standards.
 
4. Design and implement data solutions, including data warehouses, pipelines, to support analytics by ensuring alignment with the broader
 
data strategy and integration with BI tools, while adhering to enterprise data governance policies.
 
5. Collaborate with IT governance, security and quality teams to ensure compliance with security standards, quality assurance across the
 
application and data platforms.
 
6. Provide architectural guidance for critical IT projects, ensuring compliance with approved enterprise architecture frameworks and best
 
practices
 
7. Drive digital transformation by delivering innovative technology solutions to enhance efficiency, modernize processes, and create
 
measurable business value.
 
8. Enforce design and architecture principles to ensure technology solutions are developed within a consistent, scalable, and compliant
 
enterprise architecture framework.
 
9. Identify potential architectural risks in solution designs and implement mitigation strategies to ensure system integrity, security and
 
resilience.
 
KNOWLEDGE, SKILLS & MINIMUM EXPERIENCE: 
Education Qualification: 
<ul>
<li>Bachelor*s degree in computer science, Information Technology, or related field,</li>
<li>Master*s degree preferred,</li>
<li>TOGAF certification preferred.</li>
</ul>
Work Experience: 
<ul>
<li>Minimum experience of 7 years with proven experience (5+ years) as a Solution Architect in large-scale security and enterprise</li>
</ul>
infrastructure implementation projects.
 
<ul>
<li>Hands-on knowledge of enterprise application frameworks (.NET Core, Java Spring, Node.js)</li>
<li>Experience with cloud-native services (AWS, Azure, or GCP) for compute, storage, and databases</li>
<li>Experience with event streaming technologies (Kafka, Kinesis) and NoSQL databases</li>
<li>Proficiency in data platform tools: Snowflake, Azure Synapse, BigQuery, Redshift, etc.</li>
<li>Experience in designing APIs, microservices, and modern integration patterns</li>
<li>Solid understanding of CI/CD, DevSecOps, and infrastructure-as-code</li>
<li>Background in Agile/SAFE methodologies and digital transformation programs</li>
<li>Experience in data security, privacy frameworks (GDPR, HIPAA, etc.)</li>
<li>Present architecture to architecture review boards (ARBs), exec stakeholders, and delivery teams</li>
<li>Mentor developers, solution designers, and junior architects on modern application/data stack</li>
<li>Develop and maintain architectural documentation, roadmaps, and reference models</li>
</ul>
Skills: 
<ul>
<li>Excellent presentation skills and ability to clearly articulate complex architectural solutions, technical concepts, and design decisions</li>
</ul>
to both technical and non-technical stakeholders.
 
<ul>
<li>Ability to work cross-functionally and possess conflict management skills</li>
<li>Possess good logical reasoning & structured design thinking</li>
<li>Possess creative problem-solving skills to design modern solutions</li>
<li>Ability to persuade & influence key stakeholder to adopt architecture best practices</li>
<li>Good negotiation skills to balance technical requirements, resource constraints, and stakeholder priorities</li>
</ul>

IT MANAGER - SOLUTION ARCHITECTURE

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
The Senior Data Modeller delivers enterprise-wide data foundations in a complex banking environment. The role combines enterprise/domain data modelling, hands-on data analysis, and practical data architecture input to improve how data is structured, understood, and trusted across the organisation.
We value candidates who bring a modern, forward-looking approach e.g., exposure to AI-assisted modelling/discovery and an understanding of how data platforms, metadata and semantic concepts can improve modelling productivity and consistency.
Your responsibilities in this role will include;<ul><li>
Designing and evolving conceptual and logical data models across core banking domains.</li><li>
Performing hands-on SQL analysis to profile datasets, validate definitions, reconcile discrepancies, and identify gaps.</li><li>
Providing modelling-aligned architecture inputs (conformed entities, keys, reference/master data approach, integration patterns, semantic layer considerations).</li><li>
Driving standardisation of data definitions and produce practical artefacts (data dictionary/glossary, mappings, documentation).</li><li>
Partnering with delivery teams to support metadata, lineage, and governance-aligned documentation, and ensure modelling decisions are adopted</li></ul>
Requirements
What we need you to have:<ul>
<li>
5&ndash;10+ years in data modelling and/or hands-on data analysis, ideally in banking/financial services.</li>
<li>Strong conceptual/logical modelling capability and ability to translate business needs into implementable structures.</li>
<li>Strong SQL and confidence working directly with complex datasets.</li>
<li>Strong stakeholder engagement and clear communication/documentation skills.</li>
<li>Enterprise data modelling (banking-grade): can structure domains end-to-end (customer/account/product/transaction etc.) with clear keys, relationships, and definitions.</li>
<li>Hands-on data analyst mindset: strong SQL + profiling/reconciliation; comfortable working directly with messy real-world bank data to prove what&rsquo;s true.</li>
<li>Data architecture awareness: can design models that land well in a lakehouse (layering, conformed entities, semantic alignment) and work across relational + semi/unstructured data.</li>
<li>Delivery + stakeholder execution: can run working sessions, drive decisions, produce usable artefacts (dictionary/glossary/mappings) and keep momentum with platform/engineering teams</li>
</ul>
What we'd like you to have:<ul><li>
Forward-thinking modelling: exposure to AI/GenAI-assisted modelling/discovery (automation of documentation/metadata, semantic modelling concepts, knowledge-graph thinking).</li><li>
Data quality &amp; observability orientation: experience defining critical elements, data quality checks/metrics, and supporting &ldquo;data contracts&rdquo;/early issue detection patterns.</li><li>
Lakehouse + enterprise BI/semantic familiarity: understands how models support analytics/MIS-style consumption and tool rationalisation decisions.</li><li>
Consulting background (nice signal): Big 4 / Accenture / Capgemini or similar (optional, not required).</li></ul>
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

Senior Data Modeler

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