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manager - data modeling cdup2086 Jobs in Riyadh

manager - data modeling cdup2086

manager data modeling cdup2086

Qiddiya | القدية

<div>
 The senior Expert for Data Modeling will be responsible for the deign and implementation of data models incorporating all information centralized BU the CDU team.
 
 
 This currently includes:
 
 
 <ul>
 <li>
 Cost data from Prism
 </li>
 <li>
 Time data from Primavera P6
 </li>
 <li>
 Risk data from Arm
 </li>
 <li>
 Metadata from Aconex related to documents and report content
 </li>
 <li>
 Various spreadsheets and databases implemented by Qiddiya
 
 
 </li>
 </ul>
 The Data Modeling expert will take the existing model developed in PowerBI and enhance it's capabilities, accessibility and scope of analysis to men the needs of the Qiddiya development division
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Enhance the existing data model strategy that covers all development analysis and reporting requirements
 </li>
 <li>
 Ensure clear requirements are provided to data owners so they understand how their data is tagged so it can be incorporated into models
 </li>
 <li>
 Manage the data modeling team, consisting of AI modeling expert, LLM modeling expert and a database technician and assign them tasks that achieve the desired outcome
 </li>
 <li>
 Advise the Data Modeling and Performance &amp; Analytics Director of best practice and possible enhancement to solutions
 </li>
 <li>
 Work with the Data Office to ensure all data and reports are properly governed
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Qualifications &amp; Experience
 
 
 
 
 Systems development
 
 
 
 <ul>
 <li>
 Implementation of software solutions into established working environments
 </li>
 <li>
 Experienced with the integration of existing software packages
 </li>
 <li>
 Development of workflow and automated process to enhance data capturing routines
 
 
 </li>
 </ul>
 
 Intra- Organization Stakeholder Experience
 
 
 
 <ul>
 <li>
 Effectively liaise with individuals with a variety of experience and authority levels
 </li>
 <li>
 Understand technical solutions and communicate how they solve problems
 
 
 </li>
 </ul>
 
 Team support and development
 
 
 
 <ul>
 <li>
 Assessment of individual and team performance to optimize efficiency
 </li>
 <li>
 Support to individuals with a variety of technical experience to encourage growth and development
 
 
 </li>
 </ul>
 
 Effective delivery within large organizational structures:
 
 
 
 <ul>
 <li>
 Work within the established organizational structure to effectively deliver defined outcomes
 </li>
 <li>
 Help manage messaging within Qiddiya to ensure Implementation is providing a trusted service
 
 
 </li>
 </ul>
 
 Team collaboration:
 
 
 
 <ul>
 <li>
 Work effectively as a team member, sharing responsibility, providing support, maintaining communication, and updating senior team members on progress
 </li>
 <li>
 Communicate and collaborate with other team members, adjacent teams, and external partners, such as consultants
 
 
 </li>
 </ul>
 
 Degree educated in information services and/or data analytics
 
 
 
 
 Established experience of working as part of an owner's team on solutions for large and complex organizations
 
 
 
 
 Preferred Backgrounds
 
 
 
 <ul>
 <li>
 Excellent communication, presentation, and interpersonal skills
 </li>
 <li>
 Fluency in using Microsoft Office
 </li>
 <li>
 Have high ability to work individually and collaboratively with others
 </li>
 <li>
 Have high ability to work effectively under pressure and meet established goals and objectives within the specified deadline
 </li>
 <li>
 Highly motivated and a strong drive to learn including independent learning
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Exposure to all aspects of the development business
 </li>
 <li>
 Opportunity to shape large datasets and implement innovative analytical solutions
 </li>
 <li>
 Opportunity to help develop a team with strong core technical skills
 </li>
 <li>
 Long term appointment
 </li>
 </ul>
</div>

Manager - Data Modeling CDUP2086

Devoteam

<div>
 
 Tech for People Unlocks the Future
 
 
 
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 
 
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 
 
 
 Devoteam Culture &amp; Values:
 
 
 
 True innovation is born from a powerful culture, fused with meaningful values.
 
 
 
 Culture:
 
 
 
 
 Fair and courageous
 
 
 
 Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
 
 
 
 Ambition and results
 
 
 
 Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
 
 
 
 Learning and innovating
 
 
 
 Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
 
 
 
 Caring and sharing
 
 
 
 A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.
 
 
 At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
 
 
 
 Values:
 
 
 
 <ul>
 <li>
 Respect
 </li>
 <li>
 Frankness
 </li>
 <li>
 Passion
 
 
 
 </li>
 </ul>
 Knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.
 
 
 To know more about us, please visit: www.devoteam.com
 
 
 
 Job Description
 
 
 
 
 Summary Introduction:
 
 
 
 Design, implement, optimize enterprise data architecture and models that represent complex data using relational, dimensional, and NoSQL databases, and ensure data is structured for high performance, clarity, and long-term scalability across both operational and analytical systems. Data Modeler will be the translator between business stakeholders and data engineering teams.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Assessment - Review current data models to understand the AS-IS environment.
 </li>
 <li>
 Conceptual, Logical, and Physical Modeling - Plan, design and maintain blueprints of the TO-BE data models for OLTP (operational), OLAP (analytical), and Enterprise Data Lakehouse environments and how data will be stored, managed and used.
 </li>
 <li>
 Business Alignment - Understand business processes and translate them into robust data requirements and review current report design documents to understand where data model structures can address business requirements.
 </li>
 <li>
 Multi-Paradigm Modeling - Designing 3NF (Third Normal Form) for transactional databases, Dimensional Models (Kimball/Star Schema) for data warehousing, and Data Vault 2.0 for scalable enterprise data lakes.
 </li>
 <li>
 Data Quality - Transform unstructured data into structured data by fixing errors, eliminate redundancies and unnecessary data to optimize data systems.
 </li>
 <li>
 Performance Optimization - Optimize query performance through smart indexing, partitioning, and materialization strategies.
 </li>
 <li>
 Data Governance - Establish, enforce and implement best practices, data naming standards, data definitions, maintain data maps and relevant diagrams for data systems and metadata management.
 </li>
 <li>
 Data Security - Specify rules and guidelines for ensuring data security and compliance. Define procedures for ensuring data are classified according to their sensitivity.
 </li>
 <li>
 Tooling &amp; Documentation - Maintain data schemas using modern standards modeling tools and ensure documentation is accessible to both technical and non-technical users.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 B.Sc. Degree with a minimum of 5+ years of dedicated data modeling experience in enterprise relational databases, columnar databases.
 </li>
 <li>
 SQL Proficiency - Write, read, and optimize complex SQL transactional and analytical queries
 </li>
 <li>
 Modern Data Stack Familiarity - Experience modeling for cloud data warehouses/lakehouses (e.g., SQLSERVER, Hadoop, Snowflake, BigQuery, Databricks), working alongside transformation tools (e.g., dbt), and create ERDs for relational systems and dimensional diagrams.
 </li>
 <li>
 Tooling - Proficiency with ER/Studio, Erwin or similar data modeling software.
 </li>
 <li>
 NoSQL/Unstructured Data - Understanding of when and how to model semi-structured data (JSON, Parquet) and NoSQL databases (MongoDB, Cassandra) alongside relational data.
 </li>
 <li>
 Physical Data Management - Understand current data storage constrains and define TO-BE needs with growth allocation.
 </li>
 <li>
 Data Integration - Familiar with ETL tools to define the rules for data transformations and prepare data for big data analytics.
 </li>
 <li>
 Soft Skills: Communication, presentation skills, Business needs, able to lead or mentor a team.
 
 
 
 </li>
 </ul>
 
 Certificates:
 
 W3school SQL Certification, DAMA-CDMP Certification, Microsoft: Azure Data Engineer Associate.
 
 
 
 Additional Information
 
 
 
 
 Business Unit: DAIC
 
 
 
 
 Level: Mid-senior level
 
</div>

Senior Data Modeler Consultant

<div>Company Description 
Tech for People Unlocks the Future
At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us. 
With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
Devoteam Culture &amp; Values: 
True innovation is born from a powerful culture, fused with meaningful values.
Culture:
Fair and courageous 
Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it. 
 
Ambition and results 
Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint. 
 
Learning and innovating 
Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence. 
 
Caring and sharing 
A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration. 
At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
Values:
1. Respect 
2. Frankness 
3. Passion
Knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.
To know more about us, please visit: www.devoteam.com 
 
 
Job Description 
Summary Introduction:
Design, implement, optimize enterprise data architecture and models that represent complex data using relational, dimensional, and NoSQL databases, and ensure data is structured for high performance, clarity, and long-term scalability across both operational and analytical systems. Data Modeler will be the translator between business stakeholders and data engineering teams.
Key Responsibilities:<ul><li>
Assessment - Review current data models to understand the AS-IS environment.</li><li>
Conceptual, Logical, and Physical Modeling - Plan, design and maintain blueprints of the TO-BE data models for OLTP (operational), OLAP (analytical), and Enterprise Data Lakehouse environments and how data will be stored, managed and used.</li><li>
Business Alignment - Understand business processes and translate them into robust data requirements and review current report design documents to understand where data model structures can address business requirements.</li><li>
Multi-Paradigm Modeling - Designing 3NF (Third Normal Form) for transactional databases, Dimensional Models (Kimball/Star Schema) for data warehousing, and Data Vault 2.0 for scalable enterprise data lakes.</li><li>
Data Quality - Transform unstructured data into structured data by fixing errors, eliminate redundancies and unnecessary data to optimize data systems.</li><li>
Performance Optimization - Optimize query performance through smart indexing, partitioning, and materialization strategies.</li><li>
Data Governance - Establish, enforce and implement best practices, data naming standards, data definitions, maintain data maps and relevant diagrams for data systems and metadata management.</li><li>
Data Security - Specify rules and guidelines for ensuring data security and compliance. Define procedures for ensuring data are classified according to their sensitivity.</li><li>
Tooling &amp; Documentation - Maintain data schemas using modern standards modeling tools and ensure documentation is accessible to both technical and non-technical users.</li></ul> 

Qualifications 
<ul><li>
B.Sc. Degree with a minimum of 5+ years of dedicated data modeling experience in enterprise relational databases, columnar databases.</li><li>
SQL Proficiency - Write, read, and optimize complex SQL transactional and analytical queries</li><li>
Modern Data Stack Familiarity - Experience modeling for cloud data warehouses/lakehouses (e.g., SQLSERVER, Hadoop, Snowflake, BigQuery, Databricks), working alongside transformation tools (e.g., dbt), and create ERDs for relational systems and dimensional diagrams.</li><li>
Tooling - Proficiency with ER/Studio, Erwin or similar data modeling software.</li><li>
NoSQL/Unstructured Data - Understanding of when and how to model semi-structured data (JSON, Parquet) and NoSQL databases (MongoDB, Cassandra) alongside relational data.</li><li>
Physical Data Management - Understand current data storage constrains and define TO-BE needs with growth allocation.</li><li>
Data Integration - Familiar with ETL tools to define the rules for data transformations and prepare data for big data analytics.</li><li>
Soft Skills: Communication, presentation skills, Business needs, able to lead or mentor a team.</li></ul>
Certificates: W3school SQL Certification, DAMA-CDMP Certification, Microsoft: Azure Data Engineer Associate. 
Additional Information 
Business Unit: DAIC
Level: Mid-senior level</div>

Master Works

<div>
 
 Our subsidiary (Nabeh) is seeking for an AI Project, Manager to Plan, lead, and control AI projects across the full
 
 Project Management Lifecycle
 
 while ensuring alignment with
 
 organizational PMO governance
 
 , contractual commitments, and
 
 CPMAI&trade; analytics lifecycle phases
 
 to achieve measurable business outcomes.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Initiation &amp; Alignment
 
 
 <ul>
 <li>
 Develop and maintain the
 
 Project Charter
 
 , ensuring alignment with business objectives, success criteria, and value realization goals.
 </li>
 <li>
 Identify and engage key stakeholders; define stakeholder expectations and communication needs.
 </li>
 </ul>
 
 
 Planning
 
 
 <ul>
 <li>
 Establish and baseline the
 
 Integrated Project Management Plan
 
 , including scope, schedule, cost, quality, resource, risk, communication, and procurement components.
 </li>
 <li>
 Define
 
 Work Breakdown Structure (WBS)
 
 , milestones, delivery dependencies, and acceptance criteria.
 </li>
 <li>
 Plan resource allocation in coordination with technical leads and functional managers.
 </li>
 <li>
 Ensure alignment between delivery plans, payment milestones, and contractual terms.
 </li>
 </ul>
 
 
 Execution
 
 
 <ul>
 <li>
 Direct and manage project work in accordance with the approved project plan and governance framework.
 </li>
 <li>
 Coordinate cross-functional teams (AI, data, platform, infrastructure) to support CPMAI&trade; phases such as business understanding, data understanding, modeling, deployment, and monitoring.
 </li>
 <li>
 Serve as the primary point of integration between PMO, technical teams, vendors, and clients.
 </li>
 </ul>
 
 
 Monitoring &amp; Controlling
 
 
 <ul>
 <li>
 Monitor project performance against baselined scope, schedule, and cost using defined KPIs.
 </li>
 <li>
 Identify, assess, and manage
 
 risks, issues, assumptions, and dependencies (RAID)
 
 proactively.
 </li>
 <li>
 Control scope through formal
 
 Change Control
 
 processes and assess impact on time, cost, and value.
 </li>
 <li>
 Produce accurate and timely
 
 project status reports
 
 and forecasts for stakeholders.
 </li>
 </ul>
 
 
 Closure &amp; Value Realization
 
 
 <ul>
 <li>
 Ensure formal project closure, including deliverable acceptance, documentation handover, and lessons learned.
 </li>
 <li>
 Support value realization tracking and post-delivery performance monitoring where applicable.
 </li>
 <li>
 Ensure all contractual and governance artifacts (e.g., CoCs, invoices, approvals) are completed and archived.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor's degree in IT, Computer Science, Engineering, or a related field.
 </li>
 <li>
 8+
 
 years of experience
 
 in technology project management, including delivery of complex, data-driven or AI-enabled solutions.
 </li>
 <li>
 
 PMP&reg;, PRINCE2&reg;, or equivalent PMI-aligned certification is required
 
 .
 </li>
 <li>
 
 PMI-CPMAI&trade; certification is a strong advantage
 
 , with demonstrated understanding of analytics and AI project lifecycles.
 </li>
 <li>
 Strong capability in stakeholder engagement, governance enforcement, and cross-functional coordination.
 </li>
 <li>
 Proven ability to manage projects in high-visibility, regulated, or enterprise environments.
 </li>
 </ul>
 
 
 
 
 
 Job Location:
 
 Client site
 
</div>

AI Project, Manager

Cognizant

Role Overview
 As a Senior Data Engineer / Tech Lead, you will design, develop, and optimize scalable, enterprise-grade cloud-native data platforms and pipelines on the Microsoft Azure ecosystem . You will possess deep technical ownership and be responsible for implementing modern data architectures (such as Lakehouse and Medallion architecture) . This role requires close collaboration with architects, business analysts, and downstream data consumers to translate complex business requirements into high-performing and secure data solutions.
 
Key Responsibilities
 1.Data Pipeline Design & Orchestration (ADF)
 <ul>
<li>Design, build, and maintain complex, scalable ETL/ELT pipelines using Azure Data Factory (ADF) to ingest heterogeneous data from diverse sources (APIs, SFTP, Oracle Fusion, SQL Server, Event Hubs, etc.)</li>
<li>Implement parameter-driven dynamic pipelines, custom activities, and robust scheduling triggers</li>
<li>Configure and manage Integration Runtimes (Self-Hosted and Azure IR) for secure and efficient on-premise to cloud data movement</li>
</ul>
2.Advanced Big Data Processing (Azure Databricks)
 <ul>
<li>Develop high-performance batch and real-time streaming data pipelines using Azure Databricks, PySpark, Spark SQL, or Scala</li>
<li>Implement Medallion Architecture (Bronze, Silver, and Gold layers) and maintain modern Lakehouse architectures utilizing Delta Lake</li>
<li>Optimize Spark compute usage through parameter-driven jobs, proper cluster scaling, and Databricks serverless compute configurations</li>
<li>Perform deep performance tuning, query optimization, and memory management of heavy Spark workloads</li>
</ul>
3.Data Warehousing & Modeling
 <ul>
<li>Design and refine data models including dimensional modeling, star schemas, and Slowly Changing Dimensions (SCDs)</li>
<li>Optimize databases by writing complex, performant T-SQL queries, stored procedures, and schemas on Azure SQL Database or Azure Synapse Analytics</li>
</ul>
4.Data Governance, Security & DevOps
 <ul>
<li>Enforce data governance, lineage, and access controls across the platform utilizing Unity Catalog .</li>
<li>Secure data architectures utilizing Azure Key Vault, Managed Identities, Service Principals, and VNET-integrated environments</li>
<li>Implement CI/CD pipelines using Git and Azure DevOps to automate database and pipeline deployments</li>
</ul>
5.Leadership & Collaboration
 <ul>
<li>Provide technical mentorship and guidance to junior developers and QA teams</li>
<li>Enforce engineering discipline through standard code reviews, structured pre/post-deployment validations, and thorough documentation</li>
</ul>
Required Skills & Qualifications
 <ul>
<li>Overall Experience: Minimum of 8+ years of professional experience in Data Engineering or Data Warehousing</li>
<li>Azure Experience: 4+ years of dedicated, hands-on experience designing and operating modern data platforms on Microsoft Azure</li>
<li>Programming Languages: Proficient in Python/PySpark, SQL (advanced query optimization, indexing, stored procedures), and optionally Scala</li>
<li>Core Azure Stack: Extensive knowledge of Azure Data Factory, ADLS Gen2, Azure Databricks (Delta Lake), Azure SQL Database, and Azure Synapse Analytics</li>
<li>Big Data Concepts: Robust understanding of Apache Spark architecture, distributed computing, and the Hadoop ecosystem</li>
<li>Data Integration: Strong background in CDC (Change Data Capture) mechanisms, API integrations, and event-driven data streaming (e.g., Event Hubs/Kafka)</li>
<li>Soft Skills: Excellent analytical capabilities, strong documentation skills, and the ability to articulate technical strategies to non-technical business partners</li>
</ul>
Preferred / "Good-to-Have" Qualifications
 <ul>
<li>Certifications: Microsoft Certified: Azure Data Engineer Associate (DP-203), Azure Solutions Architect Expert, or Databricks Certified Associate/Professional</li>
<li>Cloud Platforms: Exposure to multi-cloud environments (e.g., Google Cloud Platform or AWS)</li>
<li>IaC: Experience using Infrastructure as Code (IaC) tools like Terraform or ARM Templates to deploy Azure resources</li>
</ul>

Architect

Proven

Key Responsibilities:<ul><li>Design and develop AI/ML models for real-world applications</li><li>Build and deploy scalable machine learning pipelines</li><li>Work with large datasets for training, validation, and optimization</li><li>Develop and integrate NLP, computer vision, or predictive analytics solutions (as required)</li><li>Collaborate with data engineers, software developers, and product teams</li><li>Optimize model performance and ensure production readiness</li><li>Stay updated with latest AI frameworks and technologies</li></ul>Requirements:<ul><li>Minimum 5 years of experience in AI/ML development</li><li>Strong experience with Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)</li><li>Solid understanding of machine learning, deep learning, and statistical modeling</li><li>Experience with data preprocessing, feature engineering, and model evaluation</li><li>Familiarity with deploying models in cloud environments (AWS / Azure / GCP)</li><li>Strong problem-solving and analytical skills</li></ul>Preferred:<ul><li>Experience with NLP, LLMs, or computer vision</li><li>Knowledge of MLOps tools (Docker, Kubernetes, MLflow)</li><li>Experience working in agile product teams</li></ul>Pay: ﷼13,000.00 - ﷼16,000.00 per monthWork Location: In person

AI Developer

Incorta

<div>
 Incorta is a next-generation data analytics and business intelligence platform that excels at rapidly delivering business value from transactional data, this is the first real breakthrough in data analytics in 20 years. We provide an integrated end-to-end data experience, from data acquisition and enrichment to visualizing and sharing results. Our platform cuts project implementation time from months to weeks provides revolutionary query speed and maintains a unified, single source of truth for multiple workloads including business intelligence, analytics, and machine learning. Fully 90% of companies that try Incorta become customers, and over 98% of our customers are still with us. Our cloud-based service widens our reach into businesses of all sizes. There is simply no other analytics solution that is as cost-effective, agile, and impactful.
 
 
 We are seeking a talented Presales Solutions Engineer to join our growing team in Saudi Arabia
 
 
 Arabia. The ideal candidate will have a strong background in Data Analytics, Data Management,
 
 
 and Data Engineering, with proven experience supporting enterprise sales cycles. Knowledge of
 
 
 Generative AI technologies and how they apply to analytics and decision-making are highly
 
 
 desirable.
 
 
 This individual will work closely with the sales team, prospects, and customers to demonstrate
 
 
 How Incorta&rsquo;s Unified Data and Analytics Platform can solve complex data challenges and
 
 
 deliver rapid business value.
 
 
 
 YOU WILL
 
 
 
 <ul>
 <li>
 Partner with Sales to deliver compelling value propositions, product demonstrations, and
 </li>
 <li>
 Proofs of Concept (POCs) to prospective customers.
 </li>
 <li>
 Lead technical discovery sessions with customers to understand their data architecture, business needs, and current pain points.
 </li>
 <li>
 Translate customer requirements into Incorta-based solutions, showcasing our Advantages in real-time data ingestion, transformation, and visualization.
 </li>
 <li>
 Build custom demos and POCs, leveraging Incorta&rsquo;s platform (including Incorta Nexus GenAI), Data Apps, and integration with source systems like Oracle, SAP, Snowflake, etc.
 </li>
 <li>
 Explain data modeling concepts, query optimization, and data pipeline architecture to both technical and business audiences.
 </li>
 <li>
 Collaborate with product and engineering teams to provide feedback from the field.
 </li>
 <li>
 Present at events, webinars, and customer workshops as a technical expert.
 </li>
 <li>
 Stay updated with data trends, GenAI developments, and regional market demands.
 </li>
 <li>
 Support RFPs/RFIs and contribute to technical proposals.
 
 
 </li>
 </ul>
 
 YOU HAVE
 
 
 
 <ul>
 <li>
 5&ndash;7 years of experience in Presales, Solutions Engineering, or related customer-facing
 </li>
 <li>
 technical roles.
 </li>
 <li>
 Strong understanding of data platforms, including data modeling, ETL/ELT pipelines, and data warehousing concepts.
 </li>
 <li>
 Familiarity with data management practices, including governance, quality, and metadata.
 </li>
 <li>
 Hands-on experience with platforms like Incorta, Snowflake, Databricks, MS Fabric, or similar is a plus.
 </li>
 <li>
 Exposure to or understanding of Generative AI (LLMs, RAG, AI copilots) in analytics is a strong plus.
 </li>
 <li>
 Strong communication and presentation skills in both English and Arabic.
 </li>
 <li>
 Bachelor's Degree in Computer Science, Engineering, Information Systems, or related field.
 
 
 </li>
 </ul>
 
 NICE TO HAVE
 
 
 
 <ul>
 <li>
 Strong SQL skills; knowledge of Python is a plus.
 </li>
 <li>
 Experience designing or presenting cloud-based architectures (AWS, GCP, Azure).
 </li>
 <li>
 Familiarity with NDMO, PDPL, or regional data regulations is a plus.
 </li>
 <li>
 Ability to engage with both technical and executive-level stakeholders.
 
 
 </li>
 </ul>
 We could tell you that we&rsquo;re building something that truly optimizes the way business intelligence is done. We could also tell you that we&rsquo;re backed by marquee VC's such as Google Ventures and Kleiner Perkins. Or even the fact that we were named one of Inc. Magazine&rsquo;s Best Workplaces of 2022 while also being the only vendor to be recognized in the 2022 Gartner&reg; Magic Quadrant&trade; and the 2022 Gartner&reg; Market Guide. All true, but the real reason you will want to come work for Incorta is that you&rsquo;ll be part of an early team that is building a game-changing analytics product that will allow companies to answer complex questions in seconds...not days or weeks like the current solutions.
 
 
 Incorta provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
</div>

Senior Presales Solutions Engineer

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356 manager data modeling cdup2086 jobs In Riyadh

Manager - Data Modeling CDUP2086

Senior Data Modeler Consultant

Senior Data Modeler Consultant

AI Project, Manager

Architect

AI Developer

Senior Presales Solutions Engineer