data analyst

senior architect

data engineer

data entry executive

erp administrator

enterprise 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)

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><div></div> 
Saudi Arabia role - candidates to be based preferrably in Riyadh. 
What you`ll do 
Summary:
We, as a collective group of SAP Enterprise Architects, commit to leading the digital transformation of our customers by leveraging our expertise in system integration, strategic planning, and technology implementation. Our primary missions are to drive the Clean Core imperative and to accelerate the adoption of SAP Business Technology Platform (BTP) by fostering a culture of innovation and efficiency. We are dedicated to enabling Clean Core, aiming to simplify and modernize our IT landscape while reducing complexity and operational costs. By consolidating systems and streamlining processes, we strive to create a robust and agile infrastructure that supports the evolving needs of our business.
The Role: 
Enterprise Architects play a crucial role in orchestrating the development of a holistic enterprise architecture model that supports established enterprise goals. To help companies to future-proof their technology environment we serve them from the select phase where the NorthStar Enterprise Architecture is being created, to adopt (Clean core transformation coming in) to the derive phase (translate the NorthStar Enterprise Architecture to its different SAP solutions, including BTP realizing the Clean Core). 
As an Enterprise Architect, you act as an Advisor to the customer to lead them towards the next step of IT-Services by providing holistic advice and guidance focusing either on an application/solution, an industry, or a technology. 
What you bring 
Must-have requirements/skills:<div><ul><li> 
At least 10 years+ of work experience in a customer experience role (e.g., Program Manager, Architect, Customer Engagement, Customer Advisory)</li></ul></div><ul><li>Proven experience delivering enterprise Business transformation through Application delivery.</li><li>Experience in end-to-end architectural design for hybrid solution landscapes.</li><li>Proven knowledge of SAP Enterprise Architecture Framework and Toolset, SAP Integration Advisory Methodology, SAP Extensibility Advisory Methodology, SAP Clean Core principles</li><li>Excellent communication, influencing and negotiation skills (in English language) at senior manager level both inside an IT team and across business functions.</li></ul><div> 
Nice-to have requirements/skills: 
<ul><li>Experience in using SAP LeanIX &amp; Signavio as tools to document Enterprise Architectures &amp; Business Processes.</li></ul></div><ul><li>Ideally, proven knowledge of On-Premises solutions and its corresponding cloud solutions.</li><li>BTP Certifications (e.g. Integration Suite, Extension Suite, SAP Build)</li><li>Professional Training &amp; Certification (e.g., SAP Enterprise Architecture Framework featured by LeanIX EAM, SAP Certified Professional-Enterprise Architect [P_SAPEA_2023], TOGAF) as a plus.</li></ul> 
Meet your team: 
Join our dynamic team of SAP Enterprise Architects leading the charge in shaping tomorrow's digital landscape. We're passionate about revolutionizing businesses through cutting-edge SAP technologies. Our vision is clear: to drive seamless digital transformation by promoting clean core principles and accelerating Business Technology Platform (BTP) adoption. By partnering with top-tier SAP clients, including Max. Attention customers and RISE Premium Plus subscribers, we're not just providing advanced technological solutions &mdash; we're paving the way for a sustainable future. Join us in building a digitally empowered world where innovation meets environmental responsibility.<div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. 
 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 441188 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div>

RISE Enterprise Architect Expert - KSA Based only

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular 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.
We are seeking a skilled AWS Glue Data Engineer to join our Data Factory Squad, responsible for migrating source systems into the Lakehouse ingestion zone. This role focuses on building scalable ingestion pipelines, optimizing performance, and ensuring compliance with architectural and data assurance standards.
You will ideally have experience working in financial services with strong experience in AWS Glue, PySpark, and ETL pipeline development.
Your responsibilities as the AWS Glue Data Engineer will include:<ul>
<li>
Data Ingestion Development</li>
<li><ul><li>Building and implementing AWS Glue jobs for Bronze layer ingestion using defined standards and templates.</li>
<li>Implementing correct loading methods based on source requirements (CDC, full load, delta, snapshot).</li>
<li>Designing and executing historical loading mechanisms to bring legacy data into the Lakehouse.</li>
</ul></li><li>Performance Optimisation</li>
<li><ul><li>Optimising Glue job performance (DPU allocation, parallelization, partitioning) according to best practices.</li>
<li>Collaborating with platform teams to ensure tooling and optimization alignment.</li>
</ul></li><li>Migration &amp; Automation</li>
<li><ul><li>Aggressively migrating source tables to Bronze layer, initially using manual approaches with standards/templates, later leveraging AI-enabled acceleration.</li>
<li>Ensuring jobs are version-controlled and production deployment is automated via Git and Terraform.</li>
</ul></li><li>Governance &amp; Monitoring</li>
<li><ul><li>Implementing source system connectivity into CDP in collaboration with source system owners.</li>
<li>Ensuring jobs comply with data contracts and are properly monitored.</li>
<li>Preparing documentation and handover to operational support teams.</li>
</ul></li><li>Collaboration</li>
<li><ul><li>Working closely with Data Architect for ingestion patterns and standards.</li>
<li>Coordinating with Data Assurance Lead to apply quality checks across all jobs.</li>
<li>Partnering with platform engineers for tooling and optimisation.</li>
</ul></li>
</ul>Requirements
You will have experience in:<ul><li>
AWS Glue, PySpark, and ETL pipeline development;</li></ul><ul>
<li>substantial knowledge of Lakehouse architecture and Medallion design principles;</li>
<li>familiarity with CDC, delta loads, and historical data ingestion strategies; and;</li>
<li>5+ years experience in data engineering roles, with hands-on experience in AWS Glue.</li>
</ul>
You should also have knowledge of:<ul>
<li>
AWS services: Glue, S3, Athena, Lambda;</li>
<li>Git, Terraform for CI/CD automation;</li>
<li>data quality frameworks (e.g., Soda Core);</li>
<li>identifying ways to automate their work / repetitive tasks;</li>
<li>working in a fast-paced environment and deliver aggressive migration targets;</li>
<li>collaborating and communication with different stakeholder levels; and;</li>
<li>working with Jira and agile way of working.</li>
</ul>
As an AI consultancy, our greatest asset is the expertise of our people.
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
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>

AWS Glue Data Engineer

<div><h2 class="jobSectionHeader">Job Title: AWS Data Engineer</h2>
Experience: 5&ndash;8 Years 
Location: Dubai, UAE (Onsite) 
Employment Type: Full-Time<h3 class="jobSectionHeader">
Position Overview</h3>
We are looking for a skilled AWS Data Engineer to build and support cloud-based data pipelines and analytics platforms on AWS. The role focuses on hands-on development, optimization, and operational support of data processing systems.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Develop and maintain scalable batch data pipelines on AWS</li><li>
Implement ETL/ELT jobs using AWS Glue and Spark on EMR</li><li>
Build and manage workflow orchestration using Apache Airflow (MWAA)</li><li>
Develop serverless data processing functions using AWS Lambda</li><li>
Work with Amazon Redshift for data warehousing and analytics</li><li>
Implement data storage and retrieval using Amazon DynamoDB</li><li>
Use AWS DataZone for data discovery, governance, and access control</li><li>
Monitor data pipelines and system health using Amazon CloudWatch</li><li>
Troubleshoot data processing failures and performance issues</li><li>
Collaborate with analytics, reporting, and business teams</li><li>
Follow best practices for security, scalability, and cost optimization</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Experience</h3><ul><li>
5&ndash;8 years of experience in data engineering or related roles</li><li>
Hands-on experience with:<ul><li>
AWS Glue</li><li>
Amazon EMR</li><li>
AWS Lambda</li><li>
Apache Airflow (MWAA)</li><li>
Amazon EC2</li><li>
Amazon CloudWatch</li><li>
Amazon Redshift</li><li>
Amazon DynamoDB</li><li>
AWS DataZone</li></ul></li><li>
Strong SQL and Python skills</li><li>
Experience with batch data processing and data pipeline development</li><li>
Understanding of data warehousing and ETL concepts</li><li>
Experience working in Agile delivery environments</li></ul><h3 class="jobSectionHeader">
Nice to Have</h3><ul><li>
AWS Certification</li><li>
Exposure to data governance and metadata tools</li><li>
Experience with performance tuning and cost optimization on AWS</li></ul>
QYnOF1nCwQ</div>

AWS Data Engineer

<div><h2 class="jobSectionHeader">Job Title: Senior AWS Data Engineer / Data Platform Engineer</h2>
Experience: 8+ Years 
Location: Dubai, UAE (Onsite) 
Employment Type: Full-Time<h3 class="jobSectionHeader">
Position Overview</h3>
We are seeking a highly experienced Senior AWS Data Engineer to design, build, and optimize large-scale data platforms on AWS. The ideal candidate will have deep hands-on experience with AWS data services, batch and streaming data processing, and orchestration frameworks, playing a key role in architecting and maintaining enterprise-grade data solutions.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, develop, and optimize scalable data pipelines using AWS native services</li><li>
Lead the implementation of batch and near-real-time data processing solutions</li><li>
Architect and manage data ingestion, transformation, and storage layers</li><li>
Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR</li><li>
Orchestrate complex data workflows using Apache Airflow (MWAA)</li><li>
Develop and manage serverless data processing using AWS Lambda</li><li>
Design and optimize data warehouses using Amazon Redshift</li><li>
Implement and manage NoSQL data models using Amazon DynamoDB</li><li>
Utilize AWS DataZone for data governance, cataloging, and access management</li><li>
Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch</li><li>
Ensure data security, quality, performance, and cost optimization</li><li>
Collaborate with architects, analytics teams, and business stakeholders</li><li>
Provide technical guidance and mentorship to junior team members</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Experience</h3><ul><li>
8+ years of experience in data engineering and data platform development</li><li>
Strong hands-on experience with:<ul><li>
AWS Glue</li><li>
Amazon EMR (Spark)</li><li>
AWS Lambda</li><li>
Apache Airflow (MWAA)</li><li>
Amazon EC2</li><li>
Amazon CloudWatch</li><li>
Amazon Redshift</li><li>
Amazon DynamoDB</li><li>
AWS DataZone</li></ul></li><li>
Strong experience with batch data processing architectures</li><li>
Proficiency in SQL, Python, and Spark</li><li>
Experience working with large-scale datasets and distributed systems</li><li>
Strong understanding of data modeling, data warehousing, and ETL patterns</li><li>
Experience with CI/CD pipelines and Infrastructure as Code is a plus</li></ul><h3 class="jobSectionHeader">
Nice to Have</h3><ul><li>
AWS Certification (Data Analytics / Solutions Architect)</li><li>
Experience with data governance and metadata management</li><li>
Exposure to data lake and lakehouse architectures</li></ul>
M3Ply1KHOz</div>

Senior AWS Data Engineer / Data Platform Engineer

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

Explore 2205+ Enterprise data architect in Dubai this January. Find roles across top companies and apply now to boost your career.