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Starlink Qatar

<div>
 
 📌 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻:
 
 
 We are seeking an experienced Data Architect to join our team in Doha, Qatar. The ideal candidate will be responsible for designing and implementing the foundational data architecture, pipelines, and models that power our central platform and its various solutions. This role is pivotal in ensuring all data assets are reliable, scalable, secure, and cost-efficient. You will develop and maintain robust ETL/ELT pipelines, map data sources for seamless integration, and design optimal data models. Collaborating closely with business and technical stakeholders, you will translate requirements into scalable data solutions that meet stringent performance, governance, and quality standards. Your expertise will drive the continuous improvement of our data platforms through best practices in data engineering, metadata management, and pipeline automation.
 
 
 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 
 
 
 
 
 🎯 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀:
 
 
 &rtrif; 7&ndash;10 years of progressive experience in the data architecture domain, designing and governing large-scale data platforms.
 
 
 &rtrif; Proficiency in the Microsoft Azure Ecosystem, including Azure Data Factory (ADF), Azure Fabric, Databricks, and Azure Data Lake Storage (ADLS).
 
 
 &rtrif; Proven expertise in designing conceptual, logical, and physical data models.
 
 
 &rtrif; Strong experience developing ETL/ELT pipelines for both structured and unstructured data.
 
 
 &rtrif; Solid understanding of cloud-based data architectures such as Lakehouse, Data Warehouse, and Data Lake paradigms.
 
 
 &rtrif; Deep knowledge of data performance optimization techniques and security controls (e.g., row-level security, data masking, encryption).
 
 
 &rtrif; Experience with real-time data processing using technologies like Azure Streaming.
 
 
 &rtrif; Demonstrated ability to implement data reliability measures, including SLAs, retry mechanisms, and automated monitoring.
 
 
 
 
 
 ✨ 𝗗𝗲𝘀𝗶𝗿𝗮𝗯𝗹𝗲𝘀:
 
 
 &rtrif; Microsoft Certified: Azure Data Engineer, Azure Solutions Architect Expert, or equivalent certifications.
 
 
 &rtrif; Experience collaborating with Enterprise Architecture, Data Governance, and Data Science teams.
 
 
 &rtrif; Strong leadership and mentoring skills with experience guiding cross-functional teams.
 
 
 &rtrif; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, or a related field.
 
 
 &rtrif; Ability to align data architecture with business strategy and measurable outcomes.
 
</div>

Data Architect

Milaha

<div>
 
 
 JOB RESPONSIBILITY
 
 
 
 
 
 
 Strategic Leadership &amp; Vision
 
 
 &bull; Define and execute the organization&rsquo;s Data Science &amp; AI strategy in alignment with business goals.
 
 
 &bull; Identify and prioritize opportunities where AI and data driven solutions enhance efficiency, customer experience, product offerings, and revenue generation.
 
 
 &bull; Lead the design of a unified data and AI architecture, including the development of a scalable Data Lakehouse, semantic layers, feature stores, and streaming/batch data integration.
 
 
 &bull; Drive the Generative AI roadmap, selecting LLM providers, designing RAG architectures, and enabling enterprise wide AI capabilities.
 
 
 &bull; Oversee FinOps practices to optimize cloud and compute costs associated with AI, GPU workloads, and large scale data storage.
 
 
 AI &amp; Data Engineering Execution
 
 
 &bull; Oversee the end to end development, validation, deployment, and lifecycle management of machine learning and AI models.
 
 
 &bull; Implement CI/CD/CT pipelines to ensure automated, continuous, and reliable model updates.
 
 
 &bull; Build and maintain vector database infrastructure to support semantic search, contextual AI, and long term knowledge retrieval.
 
 
 &bull; Ensure data pipelines, platforms, and architectures are optimized for performance, scalability, and resilience.
 
 
 Governance, Risk, Compliance &amp; Ethics
 
 
 &bull; Implement data governance, security, and privacy standards, including RBAC/ABAC and protection of PII and sensitive datasets.
 
 
 &bull; Establish and monitor automated controls for model drift, fairness, explainability, and ethical use of AI.
 
 
 &bull; Ensure compliance with relevant regulations (e.g., GDPR, HIPAA) and internal policies.
 
 
 &bull; Maintain best practices for data quality, versioning, reproducibility, and auditability.
 
 
 Innovation &amp; Continuous Improvement
 
 
 &bull; Lead experimentation with new algorithms, methods, and technologies to maintain a cutting edge AI ecosystem.
 
 
 &bull; Promote a culture of continuous improvement, refining processes, tools, and models to enhance performance and business impact.
 
 
 Team Leadership &amp; Capability Building
 
 
 &bull; Mentor and develop a high performing team of data scientists, AI engineers, and data professionals.
 
 
 &bull; Oversee training and upskilling initiatives to ensure the team remains current with emerging technologies and methodologies.
 
 
 Stakeholder Management &amp; Communication
 
 
 &bull; Serve as a strategic advisor between business and technical teams, translating business challenges into AI solutions and articulating AI outcomes clearly to non-technical stakeholders.
 
 
 &bull; Provide regular updates to leadership on progress, performance metrics, model outcomes, and business results.
 
 
 &bull; Drive cross department collaboration to ensure successful adoption and integration of AI solutions.
 
 
 Technology, Tools &amp; Vendor Management
 
 
 &bull; Lead the selection, integration, and management of AI platforms, data tools, and vendor partnerships.
 
 
 &bull; Manage budgets for data science and AI initiatives, ensuring optimal allocation of resources.
 
 
 &bull; Make decisions related to hiring, vendor selection, and solutions procurement that support strategic AI objectives.
 
 
 
 
 
 
 
 
 
 REQUIREMENT
 
 
 
 
 
 
 
 Education &amp; Professional Qualification:
 
 
 
 &bull; Bachelor&rsquo;s Degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, Information Technology
 
 
 &bull; Master&rsquo;s Degree (preferred):
 
 
 &bull; Data Science, Artificial Intelligence or Machine Learning, Computer Science, Business Analytics, Statistics or Applied Mathematics, Operations Research
 
 
 
 Professional Experience:
 
 
 
 &bull; 6-8 years of hands-on experience in data science, machine learning, or AI roles, including developing and deploying AI models and algorithms.
 
 
 &bull; Experience with machine learning techniques, such as:
 
 
 - Supervised/Unsupervised Learning
 
 
 - Deep Learning (e.g., Neural Networks, CNNs, RNNs)
 
 
 - Natural Language Processing (NLP)
 
 
 - Computer Vision
 
 
 &bull; Computer Skills:
 
 
 Data science, machine learning, AI, including developing and deploying AI models and algorithms
 
 
 &bull; Language Skills:
 
 
 - Business fluent English. Arabic Language is an advantage.
 
</div>

Specialist - AI & Data Architect

<div>
 
 The
 
 Data &amp; Analytics Architect
 
 defines and governs the end-to-end data architecture for enterprise platforms, enabling trusted data products, analytics, and reporting across multiple domains. The role designs cloud-agnostic data platform patterns (lakehouse, streaming, semantic layers), ensures interoperability across vendor solutions, and aligns data delivery with governance, security, and privacy requirements.
 
 
 Working with stakeholders, technical teams, and multiple delivery vendors, the architect defines reference architectures, data modeling standards, and performance/availability targets, and provides assurance through design reviews and implementation checkpoints. The role ensures analytics outputs are reliable, scalable, and operationally supportable.
 
 
 
 
 
 
 Duties &amp; Responsibilities
 
 
 <ul>
 <li>
 Define data platform reference architecture (lakehouse, streaming, batch, semantic/BI, data products).
 </li>
 <li>
 Establish patterns for data ingestion (APIs, events, IoT), transformation, and orchestration with portability in mind.
 </li>
 <li>
 Define data modeling standards: canonical models, domain-driven data products, dimensional modeling, and master data practices.
 </li>
 <li>
 Specify analytics architecture: semantic layer, KPI definitions, dashboards, and self-service analytics enablement.
 </li>
 <li>
 Define performance, scalability, and availability requirements for data workloads; implement partitioning, indexing, and cost optimization.
 </li>
 <li>
 Align data architecture with governance, privacy, and security requirements (classification, lineage, retention, encryption, DLP, access controls).
 </li>
 <li>
 Define reference designs for operational analytics, near-real-time reporting, and event-driven analytics.
 </li>
 <li>
 Govern integration of vendor-delivered data stores and BI/reporting tooling; ensure consistent data contracts and quality checks.
 </li>
 <li>
 Define and monitor data quality framework: validations, monitoring, SLAs, issue workflows, and reporting for data health.
 </li>
 <li>
 Provide architecture assurance: review vendor designs, validate implementations, and support go-live readiness and disaster recovery planning.
 </li>
 </ul>
 
 
 
 
 
 Skills &amp; Abilities
 
 
 <ul>
 <li>
 Strong knowledge of modern data architectures (lakehouse, streaming, ELT/ETL, semantic layers, data products).
 </li>
 <li>
 Ability to design scalable, secure, and cost-effective analytics solutions in multi-tenant, regulated environments.
 </li>
 <li>
 Proficiency in data modeling (dimensional + domain-oriented), data quality, and metadata/lineage practices.
 </li>
 <li>
 Experience defining actionable KPIs and ensuring consistent metric definitions across stakeholders.
 </li>
 <li>
 Strong documentation and communication skills to align vendors and business owners on data contracts and standards.
 </li>
 </ul>
 
 
 
 
 
 Education &amp; Background
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Computer Science, Information Technology, Cybersecurity
 
 , or related field; Master&rsquo;s degree highly preferred.
 </li>
 <li>
 8+ years in data architecture, analytics engineering, or BI platform roles in enterprise settings.
 </li>
 <li>
 Experience delivering data platforms in cloud/hybrid environments and integrating multiple vendor solutions.
 </li>
 <li>
 Hands-on exposure to streaming/event-driven data (Kafka/Event Hubs) and orchestration (Airflow/ADF-like tools).
 </li>
 <li>
 Experience with BI/semantic layers and large-scale dashboarding programs (Power BI/Tableau/Looker).
 </li>
 <li>
 Familiarity with governance in regulated environments (classification, retention, auditability, privacy-by-design).
 </li>
 </ul>
 
 
 
 
 
 Preferred Tools / Soft Skills
 
 
 
 
 Preferred Tools
 
 
 <ul>
 <li>
 Data platforms: Databricks/Spark, lakehouse table formats (Delta/Iceberg), object storage (Blob/S3/GCS)
 </li>
 <li>
 Streaming &amp; orchestration: Kafka/Event Hubs, Airflow/ADF-style orchestration, dbt (optional)
 </li>
 <li>
 Analytics: Power BI (preferred), semantic models, SQL engines (Synapse/Trino/BigQuery equivalents)
 </li>
 </ul>
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Ability to align diverse stakeholders on a single &ldquo;source of truth&rdquo; for metrics and data definitions
 </li>
 <li>
 Strong analytical thinking and structured problem solving
 </li>
 <li>
 Pragmatic prioritization balancing performance, cost, and governance constraints
 </li>
 <li>
 Collaborative leadership across vendors and internal teams
 </li>
 <li>
 Clear communication of complex data concepts to non-technical audiences
 </li>
 </ul>
</div>

Data & Analytics Architect

PROZ TECHNOLOGIES

JOB DESCRIPTIONThe Data &amp; Analytics Architect defines and governs the end-to-end data architecture for TASMU Platform 2.0, enabling trusted data products, analytics, and reporting across smart-city domains. The role designs cloud-agnostic data platform patterns (lakehouse, streaming, semantic layers), ensures interoperability across vendor solutions, and aligns data delivery with governance, security, and privacy requirements. Working with MCIT, Ooredoo, sector stakeholders, and multiple delivery vendors, the architect defines reference architectures, data modeling standards, and performance/availability targets, and provides assurance through design reviews and implementation checkpoints. The role ensures analytics outputs are reliable, scalable, and operationally supportable.DUTIES &amp; RESPONSIBILITIES<ul><li>Define TASMU data platform reference architecture (lakehouse, streaming, batch, semantic/BI, data products).</li><li>Establish patterns for ingestion (APIs, events, IoT), transformation, and orchestration with portability in mind.</li><li>Define data modeling standards: canonical models, domain-driven data products, dimensional modeling, and master data practices.</li><li>Specify analytics architecture: semantic layer, KPI definitions, dashboards, and self-service analytics enablement.</li><li>Define performance, scalability, and availability requirements for data workloads; partitioning, indexing, and cost optimization.</li><li>Align data architecture with governance/privacy/security leads (classification, lineage, retention, CMK, DLP, access controls).</li><li>Define reference designs for operational analytics (observability dashboards), near-real-time reporting, and event-driven analytics.</li><li>Govern integration of vendor-delivered data stores and BI/reporting tooling; ensure consistent data contracts and quality checks.</li><li>Define data quality framework (validations, monitoring, SLAs, issue workflows) and reporting for data health.</li><li>Provide architecture assurance: review vendor designs, validate implementations, and support go-live readiness and DR planning.</li></ul>SKILLS &amp; ABILITIES<ul><li>Strong knowledge of modern data architectures (lakehouse, streaming, ELT/ETL, semantic layers, data products).</li><li>Ability to design scalable, secure, and cost-effective analytics solutions in multi-tenant, regulated environments.</li><li>Proficiency in data modeling (dimensional + domain-oriented), data quality, and metadata/lineage practices.</li><li>Experience defining actionable KPIs and ensuring consistent metric definitions across stakeholders.</li><li>Strong documentation and communication skills to align vendors and business owners on data contracts and standards.</li></ul>POTENTIAL BACKGROUND<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, Cybersecurity, a Master&rsquo;s degree is highly preferred.</li><li>8+ years in data architecture, analytics engineering, or BI platform roles in enterprise settings.</li><li>Experience delivering data platforms on cloud/hybrid environments and integrating multiple vendor solutions.</li><li>Hands-on exposure to streaming/event-driven data (Kafka/Event Hubs) and orchestration (Airflow/ADF-like tools).</li><li>Experience with BI/semantic layers and large-scale dashboarding programs (Power BI/Tableau/Looker).</li><li>Familiarity with governance in regulated environments (classification, retention, auditability, privacy-by-design).</li></ul>PREFERRED TOOLS / SOFT SKILLSPreferred tools:<ul><li>Data platforms: Databricks/Spark, lakehouse table formats (Delta/Iceberg), object storage (Blob/S3/GCS)</li><li>Streaming &amp; orchestration: Kafka/Event Hubs, Airflow/ADF-style orchestration, dbt (optional)</li><li>Analytics: Power BI (preferred), semantic models, SQL engines (Synapse/Trino/BigQuery equivalents)</li></ul>Soft skills:<ul><li>Ability to align diverse stakeholders on a single &ldquo;source of truth&rdquo; for metrics and data definitions</li><li>Strong analytical thinking and structured problem solving</li><li>Pragmatic prioritization balancing performance, cost, and governance constrain</li><li>Collaborative leadership across vendors and internal teams</li><li>Clear communication of complex data concepts to non-technical audiences</li></ul>Job Type: PermanentPay: Up to QAR24,000.00 per month

Edison Smart®

<div>
 
 
 Lead Systems Architect &ndash; Enterprise Data Services
 
 
 
 
 
 
 
 Role Purpose
 
 
 
 The Lead Systems Architect is responsible for the design, implementation, and continuous optimisation of enterprise-grade database platforms across hybrid and multi-cloud environments. This role ensures high availability, scalability, and security while leading a team of senior engineers and acting as the primary technical liaison between application teams and business stakeholders.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Database Platforms &amp; Strategy
 
 
 <ul>
 <li>
 Lead the operation of diverse SQL and NoSQL platforms across on-premises and global cloud providers.
 </li>
 <li>
 Oversee native cloud database services, including managed instances and integrated data fabric solutions.
 </li>
 <li>
 Optimise complex, high-scale, and performance-intensive database environments.
 </li>
 </ul>
 
 
 
 
 
 High Availability &amp; Disaster Recovery
 
 
 <ul>
 <li>
 Architect resilient database infrastructures across hybrid-cloud environments to ensure zero-to-minimal downtime.
 </li>
 <li>
 Define and validate robust backup, recovery, and failover strategies.
 </li>
 <li>
 Ensure seamless data integration between core applications and downstream analytics systems.
 </li>
 </ul>
 
 
 
 
 
 Data Architecture &amp; Analytics Support
 
 
 <ul>
 <li>
 Enhance and manage enterprise data warehouses and data lake environments.
 </li>
 <li>
 Align data platforms with organisational reporting needs, focusing on capacity planning and cost-efficiency.
 </li>
 <li>
 Drive performance tuning and architectural modernisation initiatives.
 </li>
 </ul>
 
 
 
 
 
 Operations &amp; Security Governance
 
 
 <ul>
 <li>
 Maintain 24/7 reliability through proactive monitoring and the definition of global SLAs and KPIs.
 </li>
 <li>
 Enforce rigorous security standards, including encryption, access controls, and auditing compliance.
 </li>
 <li>
 Lead vulnerability management, patching cycles, and root cause analysis for service improvements.
 </li>
 </ul>
 
 
 
 
 
 Candidate Qualifications
 
 
 <ul>
 <li>
 
 Experience:
 
 10+ years in database engineering and architecture within large-scale, mission-critical enterprise environments.
 </li>
 <li>
 
 Leadership:
 
 Proven track record of leading senior technical teams and managing complex, multi-layered projects.
 </li>
 <li>
 
 Technical Breadth:
 
 Advanced expertise in enterprise-grade SQL platforms and hands-on experience with major cloud providers (e.g., AWS, Azure, or GCP).
 </li>
 <li>
 
 Modernization:
 
 Demonstrated experience in end-to-end database migrations and cloud-native modernization.
 </li>
 <li>
 
 Security &amp; Compliance:
 
 Deep understanding of data privacy regulations, encryption standards, and auditing protocols.
 </li>
 <li>
 
 Education:
 
 Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Certifications:
 
 
 <ul>
 <li>
 Professional-level Cloud Architect or Database Engineer certifications.
 </li>
 <li>
 ITIL or equivalent service management frameworks.
 </li>
 </ul>
 
 
</div>

Lead System Architect

Dell Technologies

<div>
 
 Services Data Center Solutions Principal for Multicloud/Data Center, AI &amp; Data and Security &amp; Resilience
 
 
 
 
 Qatar, Doha
 
 
 
 Are you an experienced outcome orientated technologist who well versed in providing presales advice for game-changing, enterprise-wide Multicloud/Data Center, AI &amp; Data and Security &amp; Resilience Transformation services? Do you want to be a hero to Dell Technology customers by delivering outcomes for their complex business/IT use cases?
 
 
 The Data Center Solutions Principal works within our Dell Technologies Services (DTS) Technical Consultants team in a presales function. You are responsible for leading the complex Multicloud, Data &amp; AI and Resiliency &amp; Security services solution definition and journey to outcome in close alignment with the Services Sales, Services Delivery Teams, Solution Partners and in collaboration with product account teams to architect and position the Dell and Dell partner ecosystem solution that best meets customer requirements and delivers expected outcomes. Dell Technologies Professional Services offers address the entire solution lifecycle in 4 phases, i.e. Strategize, Implement, Adopt and Scale spanning Consulting, Deployment, Residency and Managed services.
 
 
 Join us to do the best work of your career and make a profound social impact as a
 
 Services Data Center Solutions Principal for
 
 
 Multicloud/Data Center, AI &amp; Data and Security &amp; Resilience
 
 within Dell Technologies Services Technical Consultants team in Doha, Qatar.
 
 
 
 What you&rsquo;ll achieve:
 
 
 
 This is a senior presales customer facing role. The Solutions Principal will lead the development and delivery of presentations up to customer C-level management, driving advisory and technical workshops, designing Services Solution scopes, providing professional Services proposal responses to Requests for Proposal (RFPs), building out Statements of Work (SOW) comprising contractual services scopes, effort estimation and managing the sales lifecyle upto transition of work to the Dell Technologies delivery organization through through aligned practice management.
 
 
 
 You Will:
 
 
 
 <ul>
 <li>
 Engage in complex accounts and will lead customer presentations and workshops at the senior leadership level by developing and articulating the applicable transformation journey being able to carry the conversation in both business and technology value terms with a focus on Multicloud/Data Center, AI &amp; Data and Security &amp; Resilience services.
 </li>
 <li>
 Be part of the Middle East team of Account Solutions Principals. You will work on opportunities in the region.
 </li>
 <li>
 Be recognized for your Services solution presales subject-matter expertise in the area of Multicloud, Data &amp; AI and Resiliency &amp; Security and specifically your ability to architect and sell end-to-end professional services solutions.
 </li>
 <li>
 Contribute to business results through quality of input to Dell Technologies solution offers. You will be an evangelist to customers and internal stakeholders for Dell Technologies Multicloud/Data Center, AI &amp; Data and Security &amp; Resilience professional service offerings. You represent Dell Technologies Services in the Dell Technologies organization through internal enablement sessions comprising workshops, presentations, programs, community/practice leadership and training. Work with services portfolio teams on new offers and with business development on sales campaigns.
 
 
 </li>
 </ul>
 Take the first step towards your dream career.
 
 
 Every Dell Technologies team member brings something unique to the table. Here&rsquo;s what we are looking for with this role:
 
 
 
 Essential Requirements
 
 
 
 <ul>
 <li>
 Fluent in English
 </li>
 <li>
 10+ years services presales experience in the role of a solution lead, solution architect or similar with proven capability and experience in constructing services solutions (requirements gathering, professional services scope defintion, level of effort estimation, program planning and work packages, SoW writeup and RFI/RFP responses) for customers, typically in the large Enterprise and/or Government Sectors. You will have a thorough understanding of the development of the programme and project specific services P&amp;L and cash flow development (including business impact), risk analysis and working with Fixed Price, Time and Material and other complex commercial models and incorporation of 3rd party contracts in Waterfall and Agile project approaches.
 </li>
 <li>
 Proven experience in client facing roles and effectively influencing at all levels (up to CxO) with ability to construct, tailor, and negotiate service contracts (e.g. Statements of Work) for customer engagement which may required further 3rd party vendor scoping elements.
 </li>
 <li>
 Passion for cutting edge technology, services and life-long learning and translating this into business outcomes. Expert knowledge in Multicloud/Data Center and AI &amp; Data services and proficient knowledge in the area Security &amp; Resilience services.
 </li>
 <li>
 Exceptional consultative presales skills, including methods, tools and techniques to apply within digital transformation context; excellent communication skills in English (verbal/written); ability to run customer workshops and executive briefings; ability to work in an international, multicultural environment. Travel across the region is essential.
 
 
 </li>
 </ul>
 
 Desirable Requirements
 
 
 
 <ul>
 <li>
 Fluent in Arabic
 </li>
 <li>
 Working knowledge of Dell Technologies product and services portfolio relevant to Multicloud/Data Center, AI &amp; Data and Security &amp; Resilience in on-premise and hybrid scenarios.
 </li>
 <li>
 Practical service delivery experience and relevant certifications in the area of Multicloud/Data Center, AI &amp; Data and Security &amp; Resilience
 
 
 </li>
 </ul>
 
 Who We Are
 
 
 
 We believe that each of us has the power to make an impact. That&rsquo;s why we put our team members at the center of everything we do. If you&rsquo;re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we&rsquo;re looking for you.
 
 
 Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
 
 
 Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.
 
 
 
 Job ID:
 
 R286391Job Function: Sales Engineering
</div>

Services Data Center Solutions Principal

<div>Qatar, Doha
Are you an experienced outcome orientated technologist who well versed in providing presales advice for game-changing, enterprise-wide Multicloud/Data Center, AI &amp; Data and Security &amp; Resilience Transformation services? Do you want to be a hero to Dell Technology customers by delivering outcomes for their complex business/IT use cases?
The Data Center Solutions Principal works within our Dell Technologies Services (DTS) Technical Consultants team in a presales function. You are responsible for leading the complex Multicloud, Data &amp; AI and Resiliency &amp; Security services solution definition and journey to outcome in close alignment with the Services Sales, Services Delivery Teams, Solution Partners and in collaboration with product account teams to architect and position the Dell and Dell partner ecosystem solution that best meets customer requirements and delivers expected outcomes. Dell Technologies Professional Services offers address the entire solution lifecycle in 4 phases, i.e. Strategize, Implement, Adopt and Scale spanning Consulting, Deployment, Residency and Managed services.
Join us to do the best work of your career and make a profound social impact as a Services Data Center Solutions Principal for Multicloud/Data Center, AI &amp; Data and Security &amp; Resilience within Dell Technologies Services Technical Consultants team in Doha, Qatar.
What you&rsquo;ll achieve:
This is a senior presales customer facing role. The Solutions Principal will lead the development and delivery of presentations up to customer C-level management, driving advisory and technical workshops, designing Services Solution scopes, providing professional Services proposal responses to Requests for Proposal (RFPs), building out Statements of Work (SOW) comprising contractual services scopes, effort estimation and managing the sales lifecyle upto transition of work to the Dell Technologies delivery organization through through aligned practice management.
You Will:<ul><li>
Engage in complex accounts and will lead customer presentations and workshops at the senior leadership level by developing and articulating the applicable transformation journey being able to carry the conversation in both business and technology value terms with a focus on Multicloud/Data Center, AI &amp; Data and Security &amp; Resilience services.</li><li>
Be part of the Middle East team of Account Solutions Principals. You will work on opportunities in the region.</li><li>
Be recognized for your Services solution presales subject-matter expertise in the area of Multicloud, Data &amp; AI and Resiliency &amp; Security and specifically your ability to architect and sell end-to-end professional services solutions.</li><li>
Contribute to business results through quality of input to Dell Technologies solution offers. You will be an evangelist to customers and internal stakeholders for Dell Technologies Multicloud/Data Center, AI &amp; Data and Security &amp; Resilience professional service offerings. You represent Dell Technologies Services in the Dell Technologies organization through internal enablement sessions comprising workshops, presentations, programs, community/practice leadership and training. Work with services portfolio teams on new offers and with business development on sales campaigns.</li></ul>
Take the first step towards your dream career. 
Every Dell Technologies team member brings something unique to the table. Here&rsquo;s what we are looking for with this role:
Essential Requirements
<ul><li>Fluent in English</li><li>
10+ years services presales experience in the role of a solution lead, solution architect or similar with proven capability and experience in constructing services solutions (requirements gathering, professional services scope defintion, level of effort estimation, program planning and work packages, SoW writeup and RFI/RFP responses) for customers, typically in the large Enterprise and/or Government Sectors. You will have a thorough understanding of the development of the programme and project specific services P&amp;L and cash flow development (including business impact), risk analysis and working with Fixed Price, Time and Material and other complex commercial models and incorporation of 3rd party contracts in Waterfall and Agile project approaches.</li><li>
Proven experience in client facing roles and effectively influencing at all levels (up to CxO) with ability to construct, tailor, and negotiate service contracts (e.g. Statements of Work) for customer engagement which may required further 3rd party vendor scoping elements.</li><li>
Passion for cutting edge technology, services and life-long learning and translating this into business outcomes. Expert knowledge in Multicloud/Data Center and AI &amp; Data services and proficient knowledge in the area Security &amp; Resilience services.</li><li>
Exceptional consultative presales skills, including methods, tools and techniques to apply within digital transformation context; excellent communication skills in English (verbal/written); ability to run customer workshops and executive briefings; ability to work in an international, multicultural environment. Travel across the region is essential.</li></ul>
Desirable Requirements<ul><li>
Fluent in Arabic</li><li>
Working knowledge of Dell Technologies product and services portfolio relevant to Multicloud/Data Center, AI &amp; Data and Security &amp; Resilience in on-premise and hybrid scenarios.</li><li>
Practical service delivery experience and relevant certifications in the area of Multicloud/Data Center, AI &amp; Data and Security &amp; Resilience</li></ul>
Who we are
We believe that each of us has the power to make an impact. That&rsquo;s why we put our team members at the center of everything we do. If you&rsquo;re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we&rsquo;re looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.
Job ID:R286391</div>

Explore 433+ Data architect in Doha this March. Find roles across top companies and apply now to boost your career.

433 data architect jobs In Doha

Data Architect

Specialist - AI & Data Architect

Data & Analytics Architect

Data & Analytics Architect

Lead System Architect

Services Data Center Solutions Principal

Services Data Center Solutions Principal