data solutions architect

Eaton

<div><div><div><div><h2 class="jobSectionHeader"><b>PRIMARY FUNCTION DESCRIPTION:
</b></h2></div><div><p>Eaton's Global Data Center Segment is focused on helping data centers realize real business benefits today while optimizing their operations for the future. With the rise of big data, edge computing and the cloud, data centers are under pressure to be more high-performing, sustainable and cost-effective than ever, without compromising resilience or security. At the same time, new opportunities and revenue streams require faster speed-to-market. With our digital intelligence, world-class cyber-secure products and services, reliable, compatible solutions and engineering expertise, we help data centers realize real business benefits today while optimizing their operations for the future.
</p><p>As part of our continued investment in next generation data center technologies, Eaton is expanding its capabilities to support advanced, future ready architectures across both white space (IT halls) and grey space (electrical and mechanical infrastructure).
</p><p>Within this segment, Eaton has an opening for a <b>Data Center Solutions Architect Engineer &ndash; White Space </b>. This position plays a critical role in defining, shaping, and delivering advanced data center architectures where standard reference designs may not yet exist. This role sits at the intersection of innovation, applied engineering, and customer engagement. It will be supporting hyperscale, co-location, and EPC partners from early concept through solution definition.
</p></div></div><div><div><h2 class="jobSectionHeader"><b>ESSENTIAL FUNCTIONS &amp; DIMENSIONS:
</b></h2></div><div><p><b>Customer Solutions &amp; Concept Design
</b></p><ul><li>Engage in future data center development, design and architecture to include coordination with R&amp;D teams both internally and customer facing.
</li><li>Engage with customers on early-stage data center opportunities, including projects without established standards or reference architectures.
</li><li>Develop conceptual and system level solutions covering white space environments.
</li><li>Translate customer operational, resiliency, sustainability, and scalability goals into robust electrical architectures.
</li><li>Support technical discussions during pre-sales, design development, and early project phases.
</li></ul><p><b>System Architecture &amp; Engineering Expertise
</b></p><ul><li>Define advanced data center electrical architectures, including utility interconnection, MV/LV distribution, UPS topologies, energy storage, and IT power delivery.
</li><li>Ensure alignment between white space power requirements and upstream grey space infrastructure.
</li><li>Perform detailed technical analyses to evaluate system performance, reliability, efficiency, and maintainability.
</li><li>Provide technical recommendations to optimize footprint, power coordination, and system integration.
</li></ul><p><b>Cross Functional Collaboration
</b></p><ul><li>Partner closely with Eaton Centers of Excellence (COEs), Global Product Lines (GPLs), and Business Units (BUs) to align customer solutions with Eaton&rsquo;s technology roadmap.
</li><li>Collaborate with Design &amp; Bid, engineering, operations, and sales teams to ensure solutions are technically sound and commercially viable.
</li><li>Facilitate technical workshops with customers, consultants, and internal stakeholders to co create solutions.
</li></ul><p><b>Standards, Compliance &amp; Innovation
</b></p><ul><li>Ensure solutions comply with applicable IEC, EU requirements, and local building codes by working with authorities having jurisdiction.
</li><li>Contribute to the development of Eaton&rsquo;s global reference architectures, design frameworks, and best practices for next generation data centers.
</li><li>Stay current with industry trends, emerging technologies, and evolving data center standards to drive continuous innovation.
</li></ul><p><b>Project &amp; Lifecycle Support
</b></p><ul><li>Provide technical support during project execution, including site reviews, engineering evaluations, and electrical audits as required.
</li><li>Support early Eaton system approvals by vendors (AVL) for programmatic or large-scale deployments.
</li><li>Assist field engineers during commissioning and startup activities when needed.
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>POSITION CRITERIA::
</b></h2></div><div><ul><li>Bachelor&rsquo;s degree in engineering from an accredited institution.
</li><li>Minimum 3 years of work experience with data center electrical systems, covering white space environments.
</li><li>Proficiency in English; additional languages (e.g., Arabic) are a plus.
</li><li>Strong understanding of power system architectures, redundancy concepts, and integration between electrical and mechanical systems.
</li><li>Experience with UPS systems, MV/LV distribution, energy storage, and critical power infrastructure.
</li><li>Ability to lead technical discussions and conceptual design workshops with customers.
</li><li>Familiarity with BIM, digital engineering workflows, and modern data center design tools is an advantage.
</li><li>Strong analytical, problem solving, and communication skills.
</li><li>Customer focused mindset with the ability to act as a trusted technical advisor.
</li></ul><div><div><p><b>WHAT WE OFFER YOU :
</b></p></div><div><ul><li>Being part of a company that has been in business for more than 100 years, is well known in the industry, and has a major impact on the energy industry
</li><li>Annual mentoring program, Eaton University, a reward, and recognition system
</li><li>Ongoing Learning and Career Development Opportunities in a global company. Build your career and apply internally for our open positions worldwide
</li><li>Strong, agile and diverse team locally and globally
</li><li>Strong processes and state-of-the-art systems and tools
</li><li>Detailed induction support and well-structured onboarding
</li><li>Balance your work and life with a hybrid worktime model
</li></ul></div></div><div><p><b>Living and Working in Dubai
</b></p><p><i>Dubai is a vibrant, cosmopolitan city known for its modern architecture, luxurious lifestyle, and rich cultural heritage. Living and working in Dubai offers an exceptional quality of life with world-class amenities, a safe environment, and a thriving expatriate community. Experience a dynamic blend of work and leisure in one of the world&rsquo;s most exciting cities.
</i><br>
<i>Ready to make a difference? Join Eaton&rsquo;s Dubai Team and be part of a company shaping the future of sustainable manufacturing and power management!</i></p></div></div></div></div></div>

Data Center Solutions Architect Engineer - White Space

<div><p>Join Our Team at Eaton: Empowering Tomorrow, Today!
</p><p>Eaton has been a key player in the Middle East for 40 years. In July 2024, we announced the construction of a new sustainable <b>campus in Dubai </b>, which will bring together our commercial, manufacturing, and support functions, providing room for future growth.
</p><p><b>About Us:
</b></p><p>Eaton is a power management company where we provide energy-efficient solutions that help our customers effectively manage electrical, hydraulic and mechanical power more efficiently, safely and sustainably. Eaton is dedicated to improving the quality of life and the environment through the use of power management technology and services. Eaton has approximately 96,000 employees and sells products to customers in more than 175 countries.
</p><div><div><div><h2 class="jobSectionHeader"><b>PRIMARY FUNCTION DESCRIPTION:
</b></h2></div><div><p>Eaton's Global Data Center Segment is focused on helping data centers realize real business benefits today while optimizing their operations for the future. With the rise of big data, edge computing and the cloud, data centers are under pressure to be more high-performing, sustainable and cost-effective than ever, without compromising resilience or security. At the same time, new opportunities and revenue streams require faster speed-to-market. With our digital intelligence, world-class cyber-secure products and services, reliable, compatible solutions and engineering expertise, we help data centers realize real business benefits today while optimizing their operations for the future.
</p><p>As part of our continued investment in next generation data center technologies, Eaton is expanding its capabilities to support advanced, future ready architectures across both white space (IT halls) and grey space (electrical and mechanical infrastructure).
</p><p>Within this segment, Eaton has an opening for a <b>Data Center Solutions Architect Engineer &ndash; Grey Space. </b>This position plays a critical role in defining, shaping, and delivering advanced data center architectures where standard reference designs may not yet exist. This role sits at the intersection of innovation, applied engineering, and customer engagement. It will be supporting hyperscale, co-location, and EPC partners from early concept through solution definition.
</p></div></div><div><div><h2 class="jobSectionHeader"><b>ESSENTIAL FUNCTIONS &amp; DIMENSIONS:
</b></h2></div><div><p><b>Customer Solutions &amp; Concept Design
</b></p><ul><li>Engage in future data center development, design and architecture to include coordination with R&amp;D teams both internally and customer facing.
</li><li>Engage with customers on early-stage data center opportunities, including projects without established standards or reference architectures.
</li><li>Develop conceptual and system level solutions covering grey space environments.
</li><li>Translate customer operational, resiliency, sustainability, and scalability goals into robust electrical architectures.
</li><li>Support technical discussions during pre-sales, design development, and early project phases.
</li></ul><p><b>System Architecture &amp; Engineering Expertise
</b></p><ul><li>Define advanced data center electrical architectures, including utility interconnection, MV/LV distribution, UPS topologies, energy storage, and IT power delivery.
</li><li>Ensure alignment between white space power requirements and upstream grey space infrastructure.
</li><li>Perform detailed technical analyses to evaluate system performance, reliability, efficiency, and maintainability.
</li><li>Provide technical recommendations to optimize footprint, power coordination, and system integration.
</li></ul><p><b>Cross Functional Collaboration
</b></p><ul><li>Partner closely with Eaton Centers of Excellence (COEs), Global Product Lines (GPLs), and Business Units (BUs) to align customer solutions with Eaton&rsquo;s technology roadmap.
</li><li>Collaborate with Design &amp; Bid, engineering, operations, and sales teams to ensure solutions are technically sound and commercially viable.
</li><li>Facilitate technical workshops with customers, consultants, and internal stakeholders to co create solutions.
</li></ul><p><b>Standards, Compliance &amp; Innovation
</b></p><ul><li>Ensure solutions comply with applicable IEC, EU requirements, and local building codes by working with authorities having jurisdiction.
</li><li>Contribute to the development of Eaton&rsquo;s global reference architectures, design frameworks, and best practices for next generation data centers.
</li><li>Stay current with industry trends, emerging technologies, and evolving data center standards to drive continuous innovation.
</li></ul><p><b>Project &amp; Lifecycle Support
</b></p><ul><li>Provide technical support during project execution, including site reviews, engineering evaluations, and electrical audits as required.
</li><li>Support early Eaton system approvals by vendors (AVL) for programmatic or large-scale deployments.
</li><li>Assist field engineers during commissioning and startup activities when needed.
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>POSITION CRITERIA:
</b></h2></div><div><ul><li>Bachelor&rsquo;s degree in engineering from an accredited institution.
</li><li>Minimum 3 years of work experience with data center electrical systems, covering grey space environments.
</li><li>Strong understanding of power system architectures, redundancy concepts, and integration between electrical and mechanical systems.
</li><li>Experience with UPS systems, MV/LV distribution, energy storage, and critical power infrastructure.
</li><li>Ability to lead technical discussions and conceptual design workshops with customers.
</li><li>Familiarity with BIM, digital engineering workflows, and modern data center design tools is an advantage.
</li><li>Strong analytical, problem solving, and communication skills.
</li><li>Customer focused mindset with the ability to act as a trusted technical advisor.
</li></ul><div><div><p><b>WHAT WE OFFER YOU :
</b></p></div><div><ul><li>Being part of a company that has been in business for more than 100 years, is well known in the industry, and has a major impact on the energy industry
</li><li>Annual mentoring program, Eaton University, a reward, and recognition system
</li><li>Ongoing Learning and Career Development Opportunities in a global company. Build your career and apply internally for our open positions worldwide
</li><li>Strong, agile and diverse team locally and globally
</li><li>Strong processes and state-of-the-art systems and tools
</li><li>Detailed induction support and well-structured onboarding
</li><li>Balance your work and life with a hybrid worktime model
</li></ul></div></div><div><p><b>Living and Working in Dubai
</b></p><p><i>Dubai is a vibrant, cosmopolitan city known for its modern architecture, luxurious lifestyle, and rich cultural heritage. Living and working in Dubai offers an exceptional quality of life with world-class amenities, a safe environment, and a thriving expatriate community. Experience a dynamic blend of work and leisure in one of the world&rsquo;s most exciting cities.
</i><br>
<i>Ready to make a difference? Join Eaton&rsquo;s Dubai Team and be part of a company shaping the future of sustainable manufacturing and power management!</i></p></div></div></div></div></div>

Data Center Solutions Architect Engineer - Grey Space

Kearney

<div><h3 class="jobSectionHeader"><b>Job Description</b></h3><p></p><div><div><p><b>
About Kearney Activate</b></p></div><div><p>
Kearney Activate is the business acceleration and enablement arm of Kearney Management Consulting, helping clients accelerate transformation through Data and AI.</p></div><div><p>
Our Data &amp; AI business line bridges strategy, technology, and execution to deliver data-driven, AI-enabled, and cloud-powered transformations. We partner with leading platforms such as Microsoft, AWS, Snowflake, Databricks and Nvidia to help organizations build trusted data foundations, deploy intelligent solutions, and scale innovation.</p></div><div><p>
We operate across four key focus areas:</p></div><div><ul><li><div>
Advisory &amp; Assurance Services: Driving strategy, governance, and change management to ensure impactful transformation.</div></li></ul></div><div><ul><li><div>
Data Services: Building trusted, high-quality data foundations using Agentic AI across engineering, architecture, and governance.</div></li></ul></div><div><ul><li><div>
Insights Services: Unlocking value through analytics, data science, and AI-driven storytelling for better decision making.</div></li></ul></div><div><ul><li><div>
Asset Services: Developing reusable GenAI assets, accelerators, and AI-powered solutions that push the boundaries of innovation.</div></li></ul></div><div></div><div><p><b><br>
Position Overview</b></p></div><div><p>
We are seeking a visionary AI-Enabled Solution Architect to help lead the regional design and delivery of next-generation, AI-native data and analytics solutions. This role is central to our transformation team as we embed Generative AI, Agentic Intelligence, and modern data engineering into the core of how we operate and deliver value to our clients.</p></div><div><p>
You&rsquo;ll not only shape cutting-edge architectures but also lead and inspire multidisciplinary teams, helping to develop the next generation of technical leaders who carry our depth of expertise into complex client environments. You'll operate at the intersection of technology and business, translating emerging capabilities into practical, high-impact solutions.</p></div><div><p><b>
Your Responsibilities</b></p></div></div><div><div><ul><li><div>
Architect scalable, modular platforms that integrate modern data engineering with GenAI and Agentic AI capabilities.</div></li></ul></div><div><ul><li><div>
Design and build end-to-end ingestion, transformation, and classification pipelines across structured and semi structured data sources (e.g., Excel, JSON).</div></li></ul></div><div><ul><li><div>
Implement RAG (Retrieval-Augmented Generation) pipelines using intelligent chunking strategies and multimodal retrieval (e.g., BM25, dense vector search, graph-based, structured data, and vision-based inputs).</div></li></ul></div><div><ul><li><div>
Drive data quality through embedded validation, monitoring, and automated reporting frameworks.</div></li></ul></div><div><ul><li><div>
Enable in-context learning and enterprise-scale agent design using different prompting techniques (like ReAct, Tree-of-Thoughts, Reflexion, or hybrid reasoning patterns) for automation, insight generation, and decision support.</div></li></ul></div><div><ul><li><div>
Lead exploratory data analysis (EDA), dynamic source classification, and ML model integration for advanced analytical and operational use cases.</div></li></ul></div><div><ul><li><div>
Mentor and grow a high-performing team of architects, engineers, and analysts&mdash;fostering innovation, cross functional collaboration, and delivery excellence.</div></li></ul></div><div><ul><li><div>
Champion AI and data architecture as strategic enablers of business transformation&mdash;linking technology decisions directly to measurable client outcomes.</div></li><li><div>
Provide technical leadership within sales processes and client pursuits</div></li><li><div>
Identify and cultivate new opportunities within existing and prospective accounts</div></li></ul></div><div><p><b>
Technologies &amp; Concepts</b></p></div><div><ul><li><div>
Programming &amp; APIs: PySpark, Python, FastAPI, FastMCP, SQL, OAuth2</div></li></ul></div><div><ul><li><div>
GenAI &amp; Agentic Tools: RAGAS, Langfuse, LangGraph, Llamaindex, Vector Databases (FAISS, PGVector, Weaviate, AWS Bedrock, Azure AI Search)</div></li></ul></div><div><ul><li><div>
AI Architectures: Retrieval-Augmented Generation, In-Context Learning, Agent Design, Function Calling, LLM Fine-Tuning &amp; Adaptation Strategies</div></li></ul></div><div><ul><li><div>
Data Engineering: Real-time ingestion pipelines, transformation logic, schema evolution, semi-structured data workflows</div></li></ul></div><div><ul><li><div>
Data Analytics &amp; Quality: Exploratory Data Analysis, advanced classification, data quality reporting and observability</div></li></ul></div><div><ul><li><div>
Enterprise Integration: Secure API architecture, user feedback loops, instrumentation with Langfuse for traceability, MLOps and LLMOps frameworks to operationalise and govern ML/LLM pipelines across environments</div></li></ul></div><div><p><b>
Your Profile</b></p></div><div><ul><li><div>
Proven experience designing and scaling GenAI-enabled and data-driven architectures.</div></li></ul></div><div><ul><li><div>
Strong grounding in software engineering principles and AI/ML enablement.</div></li></ul></div></div><div><div><ul><li><div>
Demonstrated ability to lead, mentor, and grow cross-functional technical teams.</div></li></ul></div><div><ul><li><div>
Track record of delivering innovative, scalable solutions that drive clear business value.</div></li><div></div><li><div><br>
Experience influencing CXO-level stakeholders</div></li><li><div>
Strong commercial mindset linking architecture to business value</div></li></ul></div><div></div><div><ul><li><div><br>
Exceptional communication skills.</div></li></ul></div><div><ul><li><div>
Passion for shaping intelligent systems and applying emerging technologies to solve real-world challenges.</div></li></ul></div></div><div></div><div><div><b><br>
Why Join?</b></div></div><div></div><div><ul><li><div><br>
Strategic Impact &ndash; Shape the commercial growth engine of one of Kearney&rsquo;s fastest-growing digital businesses.</div></li></ul></div><div><ul><li><div>
Collaborative Ecosystem &ndash; Work with top technology partners and world-class consulting teams.</div></li></ul></div><div><ul><li><div>
Growth &amp; Development &ndash; Access Kearney&rsquo;s global learning programs and partner certifications.</div></li></ul></div><div><ul><li><div>
Culture &ndash; Join a hands-on, high-energy, and inclusive environment focused on innovation and impact.</div></li></ul></div><div><ul><li><div>
Purpose &ndash; Help global enterprises unlock value through trusted data foundations, AI enablement, and digital transformation.</div></li></ul></div><div></div><div><div><b><br>
Equal Employment Opportunity and Non-discrimination</b></div></div><div><p>
Kearney Activate prides itself on providing a culture that allows employees to bring their best selves to work every day. Our people can feel comfortable, confident, and joyful to do great things for our firm, our teams, and our clients. Kearney Activate aims to build diverse capabilities to help our clients solve their most mission critical problems. Kearney Activate is committed to building a diverse, unbiased and inclusive workforce. Kearney Activate is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person&rsquo;s gender identity or expression, sexual orientation, race, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities, or religious beliefs and practices. Members of communities historically underrepresented in analytics and consulting are encouraged to apply.</p></div><p></p><h3 class="jobSectionHeader"><b>
Language Requirements</b></h3><p>
Arabic and English</p></div>

Data and AI Solution Architect

MASTER-WORKS

<div><p>Master Works is seeking a Data Architect responsible for designing, developing, and managing data architecture to ensure structured, high-quality, and well-governed data aligned with organizational and national standards.</p><ul><li>
Designing and developing data architecture solutions.
</li><li>Structuring and organizing enterprise data.
</li><li>Ensuring data and information quality across systems.
</li><li>Developing and implementing data models.
</li><li>Managing information lifecycle processes.
</li><li>Ensuring alignment with National Data Management Office (NDMO) requirements.
</li><li>Supporting data management and governance initiatives.</li></ul><br>
<b>
Requirements</b><br>
<br>
<b>Education &amp; Certifications</b><ul><li>
Bachelor&rsquo;s degree in Information Technology or equivalent.
</li><li>5 years of experience in the relevant field.
</li><li>TOGAF Part 2 Certified (mandatory).
</li><li>DAMA Certification (preferred).
</li><li>Experience in EA modelling using ARIS (preferred).
</li></ul><p></p><b>Competencies &amp; Languages</b><ul><li>
Strong leadership and team development skills.
</li><li>Arabic: Native
</li><li>English: Fluent</li></ul></div><p></p>

EA Consultant

Anotech

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  Job Purpose:
  <br/>
  <br/>
 </strong>
 The Digital Solutions Architect leads the end-to-end architecture and governance of smart-city digital solutions delivered on Platform. The role ensures that solution designs from multiple vendors align to Platform&rsquo;s reference architectures, cloud-agnostic standards, security/compliance requirements, and platform service catalog. The architect translates business outcomes into actionable solution blueprints, ensures integration with Platform&rsquo;s shared services (identity, observability, data, APIs), and guides delivery through design reviews, implementation assurance, and operational readiness. The role supports scalable, reusable patterns for repeatable onboarding and deployment.
 <br/>
 <br/>
 <strong>
  Qualifications &amp; Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s Degree in Computer Science Information Technology, Cybersecurity, a Master&rsquo;s degree is highly preferred.
  </li>
  <li>
   10+ years in solution/enterprise architecture for large-scale digital platforms (smart city, government, telco, or critical infrastructure preferred).
  </li>
  <li>
   Experience delivering cloud and hybrid solutions with Kubernetes, APIs, identity, and observability.
  </li>
  <li>
   Proven governance involvement (Design Authority, architecture boards, standards and exception processes).
  </li>
  <li>
   Background working with SIs/vendors under RFP/contracted delivery and acceptance criteria.
  </li>
  <li>
   Familiarity with TOGAF/ADM or similar architecture frameworks and agile delivery at scale.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills &amp; Abilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong end-to-end solution architecture skills across apps, data, integration, security, and operations.
  </li>
  <li>
   Ability to govern multi-vendor delivery and drive alignment to standards without slowing execution.
  </li>
  <li>
   Excellent stakeholder management: translate between business, engineering, security, and operations.
  </li>
  <li>
   Proven ability to define NFRs (availability, performance, resiliency, scalability, observability).
  </li>
  <li>
   Structured documentation and decision-making (ADRs, reference architectures, patterns, roadmaps).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Tools
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Architecture modeling: ArchiMate / Sparx EA / Visio / Draw.io
  </li>
  <li>
   API &amp; integration: OpenAPI/AsyncAPI, API gateways (Apigee / Azure APIM / Kong)
  </li>
  <li>
   Delivery governance: Azure DevOps / Jira/Confluence, Git (GitHub), IaC (Terraform/Bicep)
   <br/>
   <br/>
  </li>
 </ul>
</div>


Digital Solutions Architect

Brainlake

<div>
 The Data Platform Technology Architect leads the architecture, design, and evolution of the government's core data platforms &mdash; ensuring scalable, secure, and interoperable solutions. You will enable seamless data exchange and integration across government entities and oversee data ingestion, storage, APIs, master data management, and advanced analytics capabilities, all in alignment with Government-Wide strategy and policy.
 <br/>
 <br/>
 <ul>
  <li>
   Define and own the end-to-end architecture for core data platforms &mdash; ensuring scalability, performance, and security
  </li>
  <li>
   Advise on technology selection, solution architecture, and platform harmonization for optimal, future-proof, cost-effective deployments aligned to Government-Wide data strategy
  </li>
  <li>
   Lead architecture and oversight of a complex ecosystem of data platforms &mdash; ensuring interoperability, consistency, and alignment across multiple vendors and technologies
  </li>
  <li>
   Design and govern the data sharing platform, enabling secure, standardized data flows across entities
  </li>
  <li>
   Oversee implementation and evolution of platform components for sharing, provisioning, and performance measurement
  </li>
  <li>
   Guide design and implementation of entity-level data solutions: ingestion, storage (lakes/warehouses), catalogues, master data management, integration layers, and analytics
  </li>
  <li>
   Ensure interoperability across entities through standardized data exchange, APIs, and integration patterns
  </li>
  <li>
   Oversee platform lifecycle management &mdash; setup, operations, upgrades, migrations, and decommissioning of legacy platforms
  </li>
  <li>
   Engage stakeholders to align the platform roadmap with strategic priorities and evolving data use cases
  </li>
  <li>
   Collaborate with engineering teams and vendors to ensure high-quality platform delivery and deployment
  </li>
  <li>
   Drive platform adoption and value realization through enablement and use case activation
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or Master's in Computer Science, Data Engineering, or related field
  </li>
  <li>
   20+ years in technology architecture &mdash; including designing and deploying large-scale data platforms in multinational or multi-entity environments (preferably with exposure in Europe or North America)
  </li>
  <li>
   Proven hands-on experience architecting and implementing cloud-based data platforms, data marketplaces, and integration ecosystems across entities
  </li>
  <li>
   Strong expertise across modern data platforms and technologies &mdash; e.g., Azure, Databricks, Snowflake, Informatica, Microsoft Purview, Palantir Foundry, or similar
  </li>
  <li>
   Demonstrated ability to assess, select, and harmonize technologies across diverse vendors
  </li>
  <li>
   Government or large-scale enterprise ecosystem experience strongly preferred
  </li>
  <li>
   Excellent English communication; Arabic a plus
  </li>
 </ul>
</div>


Data Platform Technology Architect

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
We are looking for a strong Partner Solution Architect with a Data &amp; AI background to enable new capabilities for our customers to deploy GenAI workloads on AWS. You will drive the development of the GTM plan for building and scaling GenAI on AWS, interacting with customers directly to understand their business problems, and helping them with defining and implementing scalable GenAI solutions to solve them (often via proof-of-concepts). Working with account teams, research scientists, and product teams, you&rsquo;ll drive model implementations and create new solutions.<br>
<br>
We are part of the Worldwide Specialist Organization at AWS, a team of customer obsessed architects and technical business leaders. We work backwards from our customer&rsquo;s most business-critical problems to build global go-to-market plans and scale innovations across industries and domains.
<br>
<br>
Key job responsibilities<br>
Partner Advisor: Collaborate with regional teams to enable partners and customers in adopting AWS AI and data services.
<br>
<br>
Devise Strategy: Partner with regional teams to define and execute engagement strategies for autonomous agent implementations, generative AI adoption, analytics modernization, database migrations, and streaming data architectures across global territories and key partners. Emphasize the increased demand for streaming and messaging expertise driven by the agentic AI backdrop.
<br>
<br>
Product Collaboration: Stay closely connected to AWS service teams, working with regional partner teams to launch new capabilities across our technology portfolio, enabling partners to quickly adopt innovations in AI agents, generative AI, ML, analytics, databases, and streaming services.
<br>
<br>
Thought Leadership: Provide thought leadership on AI and data solutions, including autonomous agent architectures, generative AI use cases, analytics modernization, database migrations, and streaming data patterns. Create enablement content through AWS Blogs, Whitepapers, reference architectures, and present at AWS events and industry conferences.
<br>
<br>
Community Engagement: Drive best practices across regions, participate in, and contribute to the worldwide AWS technical community of Solutions Architects and Consultants focused on our AI and data technology stack.
<br>
<br>
Partner Evangelism: Evangelize partner value propositions internally across global AWS teams and externally with customers, highlighting implementation paths for agentic AI solutions, generative AI applications, data stack modernization, analytics workloads, database migrations, and streaming architectures.
<br>
<br>
Partner Enablement: Drive partner solutions and go-to-market strategies across regions. Enable partners to build differentiated offerings for agentic AI implementations, generative AI solutions, data analytics transformation, database modernization, and streaming data services.
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Architectural Guidance: Provide architectural guidance for successful partner engagements globally, helping them leverage AWS services to win and deliver complex AI and data projects worldwide.
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A day in the life<br>
In this role, you will need to be technically capable and credible in your own right, as well as effective in shaping partner solutions involving our AI and data technology portfolio. You will enjoy learning and introducing new technologies to a global team to help them adopt best practices. You will be adept at interacting, communicating, and partnering with other departments within AWS such as our service teams, marketing, the broader Solutions Architect community, as well as representing our work to executive management within the organization.
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As the right candidate, you will possess technical skills in agentic AI architecture, generative AI applications, machine learning, data analytics services, database services, and cloud computing as well as customer facing skills at all levels of a partner organization. You should also be able to think strategically about business, product, and technical challenges. You are a thought leader, and have a hands-on approach that partners are eager to engage with. The ideal candidate can learn new concepts and technologies in a yet-to-be-defined space, is able to communicate effectively with a diverse set of customers or partners across multiple disciplines and can work effectively across internal and external organizations and remote teams.<br>
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About the team<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
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Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
Inclusive Team Culture<br>
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
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Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.<br>
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</p><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of design, implementation, or consulting in applications and infrastructures experience</li><li>4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data &amp; analytics) experience</li><li>5+ years of IT development or implementation/consulting in the software or Internet industries experience</li><li>5+ years of working with Data &amp; AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience working within software development or Internet-related industries</li><li>Experience migrating or transforming legacy customer solutions to the cloud</li><li>Experience working with AWS technologies from a dev/ops perspective</li><li>Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in machine learning, data mining, information retrieval, statistics or natural language processing</li><li>Working experience across the agentic AI, generative AI, and data landscape. This experience would include designing and implementing agentic AI systems, building generative AI architectures, developing machine learning models, and architecting data solutions.</li><li>Expertise in agentic AI frameworks, generative AI, ML/AI services, data analytics, and databases</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, San Francisco - 151,000.00 - 204,300.00 USD annually<br>
USA, GA, Atlanta - 131,300.00 - 177,600.00 USD annually<br>
USA, VA, Herndon - 131,300.00 - 177,600.00 USD annually<br>
USA, WA, Seattle - 131,300.00 - 177,600.00 USD annually</div><p></p>

Worldwide Partner Solutions Architect, Data and AI GTM

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