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4261- data engineer

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MOZN

<div>
 
 
 About Mozn
 
 
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We're a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you're passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About the role
 
 
 
 
 
 We are looking for a AI Engineer to lead the design, deployment, and optimization of machine learning and generative AI solutions. The role focuses on applying advanced ML techniques to solve real-world challenges across government and enterprise clients in Saudi Arabia.
 
 
 What you'll do
 
 
 
 
 <ul>
 <li>
 Designing, building, and scaling machine learning models and infrastructure
 </li>
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 Deploying deep learning and generative models into production for public and private sector projects
 </li>
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 Optimizing ML training and inference for performance, latency, and scalability
 </li>
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 Monitoring, retraining, and improving deployed ML models
 </li>
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 Driving consultation efforts, providing expert guidance to client stakeholders
 </li>
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 Own the end-to-end delivery of AI solutions, including data pipelines, model development, backend services, APIs, integrations, user interfaces, deployment, and operations
 </li>
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 Design and build data ingestion, transformation, and processing pipelines for structured and unstructured data
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 Develop backend services and APIs to expose AI capabilities securely and reliably
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 Build or contribute to frontend applications, dashboards, and interfaces for AI-powered solutions
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 Integrate AI solutions with enterprise systems, databases, authentication services, and third-party platforms
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 <ul>
 <li>
 Bachelor's or master's degree in computer science or related field
 </li>
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 3-5 years of experience across software engineering, ML engineering, data science, data engineering and generative AI
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 Strong track record of projects across public and private sectors
 </li>
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 Expertise in Python, TensorFlow, PyTorch, ONNX, and ML deployment frameworks
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 Expertise in containerization and orchestration technologies (Docker, Kubernetes), with hands-on experience in ML lifecycle management (MLflow) and local LLM deployment frameworks (Ollama)
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 Skilled in on-premise infrastructure design and enterprise architecture frameworks, with strong adherence to security and compliance best practices
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 Deep understanding of hardware provisioning for local LLM deployments (GPU, RAM, and storage optimization) and secure network configurations for internal AI services
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 Experience with cloud ML environments (SageMaker, Vertex AI, OCI Data Science)
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 Familiarity with MLOps practices and automation pipelines
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 Strong end-to-end engineering capabilities across AI, data engineering, backend development, APIs, integrations, and application deployment
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 Experience building data ingestion, transformation, and processing pipelines
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 Familiarity with backend frameworks such as FastAPI, Flask, Django, Node.js, or equivalent technologies
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 Experience designing and consuming REST APIs, webhooks, and enterprise integration interfaces
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 Working knowledge of frontend technologies such as React, Next.js, JavaScript, TypeScript, HTML, and CSS
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 Experience integrating AI solutions with databases, enterprise applications, identity and access management systems, and third-party services
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 Ability to independently build functional AI applications from prototype through production
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 Experience effectively using AI-assisted software development tools to accelerate prototyping and delivery
 
 
 
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 </ul>
 
 Benefits
 
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space
 </li>
 </ul>
 <ul>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best
 </li>
 </ul>
 <ul>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
 </ul>
 <ul>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI
 </li>
 </ul>
 <ul>
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 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves
 </li>
 </ul>
</div>

AI Engineer

CREALOGIX

<div>
 
 CREALOGIX is a leading global FinTech software solutions provider working with some of the most innovative financial brands in the world. We are dynamic and growing with over 600 employees around the world including Switzerland, Germany, Spain, the UK, the Middle East and Singapore.
 
 
 
 
 Some of the world&rsquo;s largest banks and wealth management firms select and deploy our advanced SaaS and cloud-based technologies to meet their customers&rsquo; needs &ndash; and it&rsquo;s our people who make the difference.
 
 
 
 
 
 
 Job Description
 
 
 
 
 We are looking for a Business Expert with a strong business and market-oriented mindset, who will act as a key link between client needs, market insights and internal solution design.
 
 
 
 
 This role goes beyond traditional business analysis.
 
 
 
 
 The objective is to ensure that our solutions are aligned with market demands and client expectations, while contributing to business growth initiatives.
 
 
 
 
 
 Your mission
 
 
 
 
 <ul>
 <li>
 Act as a trusted advisor, translating business and client needs into solutions
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 Analyze the Middle East market, developing a deep understanding of industry trends within this target region.
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 Understand client challenges within banking and fintech sector and provide insights to position CREALOGIX solutions competitively
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 Ensure alignment across different teams and stakeholders, supporting effective collaboration and consistency in delivering solutions.
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 Model solutions and define user flows and processes
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 Gather and document business requirements (BRDs, workshops, stakeholders) translating them into clear, functional solutions aligned with business needs
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 Mantain quality and consistency in documentation and processes
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 Support RFPs, bids and proposals in collaboration with the sales team
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 Help build and maintain strong client relationships
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 Participate in client meetings, presentations, and client-facing discussions when required.
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 Work in Agile environments when required
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 Apply AI in a strategic and responsible way, ensuring data accuracy, ethical use, and alignment with company and client standards
 </li>
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 Identify opportunities to enhance processes and solutions through AI while staying up to date with relevant advancements
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 Requirements
 
 
 
 
 
 +5 years of experience as:
 
 
 
 <ul>
 <li>
 Business Analyst / Functional Consultant / similar role
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 Experience gathering and documenting functional requirements (BRDs, workshops)
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 Strong communication skills with international stakeholders
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 Fluent in English (C1+)
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 Analytical mindset + ability to translate business into solutions
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 Experience working in cross-functional environments (Product, Tech, Business)
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 Experience using AI tools in a professional environment to enhance analysis, decision-making, or efficiency, with a strong understanding of their strategic, ethical, and responsible use (including data, governance, and risk considerations)
 </li>
 </ul>
 
 
 Nice-to-have
 
 
 
 
 <ul>
 <li>
 Experience in financial services / fintech
 </li>
 <li>
 Exposure to Middle East / KSA markets
 </li>
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 Experience in bids / presales / RFP processes
 </li>
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 Familiarity with UML or functional modelling
 </li>
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 Experience in agile delivery environments
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 At CREALOGIX we live a friendly culture with flat hierarchies, where people call each other by their first names. Come and join us in a supportive working environment with training and development opportunities on and off the job, a generous holiday entitlement, the possibility of unpaid leave as well as location-related benefits.
 
 
 
 
 CREALOGIX Group is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of origin, religion, age or gender. We support inclusion and welcome diversity as an essential source of strength in our global team. Please note that all our job descriptions are written gender neutral.
 
 
 
 
 
 Have we caught your attention?
 
 
 
 Don't hesitate and send us your application online. We are looking forward to it! Feel free to contact the local Recruiting Team if you have any questions.
 
 
 
 
 Videos to Watch
 
 
 
</div>

Business Expert

InnovationTeam

<div>Job Overview
We are seeking a high-caliber Senior System Analyst to join our team in Riyadh. You will bridge business stakeholders, project leadership, architects, and delivery teams for a large-scale digital integration program. You will translate business, operational, and regulatory needs into clear functional and technical requirements across integration services, event streaming, the developer portal, reporting, and operations. You will also coordinate interface requirements with the AI engineering workstream, while AI model design, development, and training remain outside this role. The ideal candidate is a native Arabic speaker with excellent English fluency and strong command of the full Software Development Life Cycle (SDLC).
Key Responsibilities
Requirements Engineering: Lead discovery with business and technical stakeholders to elicit, analyze, validate, and trace functional and non-functional requirements for the non-AI project scope.
System Analysis &amp; Documentation: Produce BRDs, SRS, functional and technical specifications, user stories, acceptance criteria, interface requirements, data mappings, and analysis documents for integration services and event topics.
Process &amp; Integration Modelling: Document current- and future-state processes, gap analyses, workflows, sequence diagrams, system interactions, APIs, integration mappings, and data flows.
Requirements Lifecycle &amp; Governance: Maintain traceability, backlog readiness, change requests, priorities, dependencies, and alignment with security, data, service-level, and technical governance requirements.
Validation &amp; Acceptance Support: Define acceptance criteria and test scenarios; collaborate with QA on integration, performance, and UAT activities; and verify delivered services against approved requirements.
Cross-Functional Delivery &amp; AI Coordination: Work with integration, portal, event-streaming, operations, cybersecurity, data-governance, and AI teams; define AI-related interfaces and data requirements without owning AI model design, development, or training; and support handover and knowledge transfer. 
Requirements 
Qualifications
Education: Bachelor&rsquo;s degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
Experience: 5+ years of experience in Systems Analysis or Business Systems Analysis, including enterprise integration or digital transformation projects.
Process &amp; Tool Proficiency:
Strong expertise in requirements engineering, stakeholder facilitation, functional and non-functional analysis, traceability, and change management.
Hands-on experience with requirements, backlog, and collaboration tools such as Jira, Azure DevOps, Confluence, and MS Visio (or similar).
Deep understanding of SDLC and Agile/Scrum delivery, including documentation, testing, UAT, and release-readiness activities.
Data &amp; Technical Skills:
Strong working knowledge of APIs, web services, system interfaces, data mapping, integration patterns, and event-driven systems.
Practical knowledge of databases, SQL, JSON, XML, interface specifications, and secure system-integration concepts.
Preferred exposure to IBM App Connect, API Connect, DataPower, MQ, Kafka/Confluent, developer portals, Instana, or Kibana.
Communication &amp; Domain Knowledge:
Native Arabic speaker with excellent English fluency (written and spoken).
Ability to explain complex system behaviour, dependencies, and technical requirements clearly to technical and non-technical stakeholders.
Familiarity with KSA digital transformation, cybersecurity, data-governance, and regulatory environments is a strong plus.
Professional Attributes:
Strong analytical and problem-solving skills to evaluate complex requirements, identify gaps, and support viable system solutions.
Proven ability to work across business, architecture, development, QA, operations, security, data, and AI workstreams.
High attention to detail, clear ownership of requirements, and commitment to meeting deadlines in a fast-paced environment.</div>

Senior System Analyst

Mozn

<div>About Mozn
MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises. 
Requirements 
<ul><li>
Lead consultative AI and data analytics presales engagements, guiding customers from problem discovery to solution definition and technical validation.</li><li>
Partner with business and technical stakeholders to understand strategic objectives, data challenges, and AI maturity, and translate them into actionable solution approaches.</li><li>
Advise customers on AI use cases, prioritization, and adoption roadmaps, focusing on measurable business value rather than technology alone.</li><li>
Deliver targeted demonstrations, workshops, and proof-of-concepts aligned with customer priorities and decision criteria.</li><li>
Support complex sales cycles through structured responses to RFPs, RFIs, and executive-level discussions.</li><li>
Communicate AI and analytics concepts clearly to both technical and executive audiences, enabling informed decision-making.</li><li>
Collaborate closely with Sales, Product, and Delivery teams to shape deal strategy and ensure a smooth transition from presales to delivery.</li><li>
Continuously develop expertise in Mozn&rsquo;s AI and analytics offerings, industry trends, and competitive landscape.</li></ul>
Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or a related technical discipline; a Master&rsquo;s degree is a plus.</li><li>
7+ years of experience in presales, solutions consulting, AI/data analytics consulting, or a similar senior customer-facing technical role, preferably in enterprise or regulated environments.</li><li>
Strong understanding of AI and advanced analytics concepts, including LLMs, NLP, RAG, and model lifecycle considerations, with the ability to translate technical capabilities into business value.</li><li>
Proven experience advising customers on AI strategy, use-case definition, and solution approaches throughout complex sales cycles.</li><li>
Demonstrated ability to engage, influence, and communicate effectively with senior stakeholders, including executives and technical leadership.</li><li>
Solid experience leading RFP/RFI responses and contributing to solution design, technical narratives, and value propositions.</li><li>
Excellent analytical and problem-structuring skills, with the ability to navigate ambiguity and guide customers toward clear decisions.</li><li>
Comfortable operating in fast-paced, cross-functional environments, collaborating closely with Sales, Product, Data Science, and Delivery teams.</li><li>
Arabic Language is a must</li></ul> 

Benefits 
<ul><li>
You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.</li><li>
You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.</li><li>
The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best.</li><li>
You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.</li><li>
We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.</li></ul></div>

Presales Consultant, AI & Data Analytics

SME Careers

<div>
 In this hourly, remote contractor role, you will work as an Arabic Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across Arabic AI training projects. You will review AI-generated Arabic content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards.
 
 
 You will assess work for accuracy, fluency, grammar, spelling, tone, cultural appropriateness, meaning preservation, instruction-following, formatting, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong Arabic and English skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote teams.
 
 
 This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world&rsquo;s largest AI companies and foundation-model labs. Your Arabic quality leadership will directly help improve the world&rsquo;s premier AI models by ensuring that Arabic training data is natural, accurate, culturally appropriate, well-documented, and aligned with client expectations.
 
 
 Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter.
 
 
 
 Important
 
 
 
 There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Quality monitoring: Spot-check Arabic items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
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 Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, and quality expectations.
 </li>
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 Question handling: Respond to trainer/QA questions clearly and promptly, especially around Arabic wording, grammar, register, dialect, RTL formatting, translation fidelity, terminology, and cultural context.
 </li>
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 Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed.
 </li>
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 Documentation: Create and maintain Arabic project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, and onboarding materials.
 </li>
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 Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and Arabic-specific style requirements.
 </li>
 <li>
 Quality alignment: Ensure all trainers and QAs apply Arabic language guidelines consistently and understand updates as projects evolve.
 </li>
 <li>
 Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for Arabic-language projects.
 
 
 </li>
 </ul>
 
 Your Profile
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Arabic, Linguistics, Translation, Communications, Journalism, English, Education, Quality Assurance, or a relevant domain/related field.
 </li>
 <li>
 Native or near-native Arabic proficiency with strong reading and writing skills.
 </li>
 <li>
 Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear feedback in English.
 </li>
 <li>
 3+ years of professional experience in Arabic writing, editing, translation, localization, content QA, AI training, education, annotation, or related language-review workflows.
 </li>
 <li>
 Strong understanding of Arabic grammar, spelling conventions, punctuation, diacritics, RTL formatting, tone, register, Modern Standard Arabic, and regional Arabic variation.
 </li>
 <li>
 Ability to evaluate Arabic content against detailed rubrics and identify issues such as mistranslation, literal phrasing, unnatural tone, incorrect register, dialect inconsistency, hallucinated claims, ambiguity, or inconsistent terminology.
 </li>
 <li>
 Experience leading or supporting remote teams of trainers, annotators, reviewers, editors, or QAs is strongly preferred.
 </li>
 <li>
 Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
 </li>
 <li>
 Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, and other quality documentation.
 </li>
 <li>
 Experience with AI training, data annotation, large language models, prompt/response evaluation, or rubric-based LLM QA is a strong plus.
 </li>
 </ul>
</div>

Arabic Quality Assurance Lead (QAL)

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">CV&rsquo;s that match the JD will be entertained Only 
 
Data Architect 
Location : Onsite &ndash; Riyadh 
Role Duration &ndash; Long Term
</h1>
<h1 class="jobSectionHeader">Role Overview</h1>
The expert will define the enterprise-wide data architecture for a complex, multi-entity organization. The role will translate business and data strategy into a coherent target architecture, common data models, integration patterns, platform capabilities, governance standards and a phased transition roadmap, while enabling interoperability across business units and entities.<h1 class="jobSectionHeader">
Key Responsibilities</h1><ul><li>
Assess the current data landscape across business units and entities, including data sources, platforms, models, flows, integrations, ownership, dependencies and key pain points.</li><li>
Define enterprise data architecture principles, standards and the target-state architecture across data ingestion, integration, storage, processing, sharing, analytics and AI enablement.</li><li>
Develop conceptual and logical enterprise data models, canonical models and common definitions for priority data domains.</li><li>
Define data-domain boundaries, data-product interfaces and interoperability standards for a federated, multi-entity environment.</li><li>
Establish architecture patterns for APIs, event-driven integration, batch exchange and secure data sharing across internal and external ecosystems.</li><li>
Advise on the architecture of data lakehouse or warehouse platforms, master and reference data, metadata catalogues, lineage, data quality, security and privacy controls.</li><li>
Align the data architecture with business capabilities, application architecture, technology strategy and enterprise-wide transformation priorities.</li><li>
Define data architecture governance, decision rights, design-review gates, reusable patterns and exception-management processes.</li><li>
Identify architecture gaps, dependencies and migration priorities, and develop a practical transition roadmap.</li><li>
Facilitate architecture workshops and translate complex technical decisions into clear recommendations for senior stakeholders.</li></ul><h1 class="jobSectionHeader">
Required Experience and Qualifications</h1><ul><li>
15+ years of relevant experience in data architecture, enterprise information architecture, data engineering or large-scale data transformation.</li><li>
Proven experience defining enterprise-wide data architecture for a large, complex organization, conglomerate, public-sector ecosystem or other multi-entity environment.</li><li>
Strong expertise in conceptual and logical data modelling, enterprise data domains, canonical models and data interoperability.</li><li>
Deep understanding of modern data platforms, including cloud or hybrid data architectures, lakehouse or warehouse patterns, data integration and analytics ecosystems.</li><li>
Strong knowledge of data governance, metadata, lineage, master data management, data quality, security and privacy-by-design principles.</li><li>
Experience establishing federated architecture standards and aligning diverse business units and entities around common enterprise patterns.</li><li>
Ability to connect data architecture decisions to business outcomes, operating-model implications, investment requirements and implementation priorities, and communicate them clearly to senior stakeholders</li></ul>
8hClB9Kwo7</div>

Senior Data Architect

RIME | رايم

<div>
 Welcome to where every role drives real change. At Rime, we don't just offer jobs, we offer the chance to shape industries and transform communities. Join professionals who wake up knowing their work matters, solving challenges that impact millions. Whether leading breakthrough initiatives or starting your journey, you'll work on projects that leave a lasting legacy. Every decision, every idea here creates ripple effects that matter. Ready to do work that matters? Explore our roles and join those making a real difference.
 
 
 Description
 
 At Rime, we are on a massive mission to empower businesses and optimize our clients' operational processes by transforming real-time video streams and sensor data into actionable insights. As a
 
 Designer
 
 , you will be the creative all-rounder handling all visual assets across the company. You will translate our tech concepts into clear, engaging graphic designs. This role requires versatility to handle a wide range of tasks, from daily social media posts to corporate sales collateral and printed materials, helping us communicate our mission to end operational blindness.
 
 
 
 Requirements
 <ul>
 <li>
 
 Core Software: Expert proficiency in essential Adobe tools: Photoshop and Illustrator.
 
 </li>
 <li>
 
 Multi-Page Layouts: Good knowledge of Adobe InDesign or similar tools for formatting company profiles and brochures.
 
 </li>
 
 
 <li>
 
 Versatile Portfolio: A solid portfolio demonstrating a wide range of design work (social media, print, presentations, and branding).
 
 </li>
 <li>
 
 Adaptability &amp; Multitasking: Ability to switch between different design styles and handle multiple diverse requests efficiently.
 
 </li>
 </ul>
 
 
 
 
 Roles And Responsibilities
 <ul>
 <li>
 
 
 <ul>
 <li>
 
 
 Social Media &amp; Digital Design:
 
 Create engaging, daily visual content for social media platforms (mainly LinkedIn) and digital ads.
 
 </li>
 <li>
 
 
 Print &amp; Corporate Assets:
 
 Layout and design all company printables and corporate assets, including brochures, flyers, and company profiles.
 
 </li>
 <li>
 
 
 Presentations &amp; Pitch Decks:
 
 Design and format professional sales pitch decks and corporate presentations for client meetings.
 
 </li>
 <li>
 
 
 Infographics &amp; Data Layout:
 
 Craft clean infographics to simplify technical data, statistics, and AI concepts for a business audience.
 
 </li>
 <li>
 
 
 Brand Consistency:
 
 Maintain and safeguard Rime&rsquo;s visual identity across all internal and external design projects.
 
 
 
 </li>
 </ul>
 </li>
 </ul>
 
 
 
 
</div>

Designer

Explore 294+ Ai data delivery expert in Riyadh this August. Find roles across top companies and apply now to boost your career.