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290
puestos de Web Developer en Arabia Saudí
Quiero recibir las últimas vacantes disponibles de puestos de “Web Developer”
Data Architect - ( 3 Month Contract )
Müller`s Solutions
Arabia Saudí
Presencial
SAR 300.000 - 400.000
Hace 30+ días
Senior AI Engineer: Full-Stack LLM & Cloud Systems
WEbook, Inc.
Riad
Presencial
SAR 200.000 - 300.000
Hace 30+ días
Descubre más oportunidades que en ningún otro sitio. Accede a más vacantesApplication Support Engineer — 3rd Line & DevSecOps
Master-Works
Riad
Presencial
SAR 150.000 - 200.000
Hace 30+ días
Entra en contacto con cazatalentos para acceder a vacantes similaresIndustrial Computer Engineer (Saudi Arabia)
Eram Talent
Dhahran Compound
Presencial
SAR 60.000 - 80.000
Hace 30+ días
Laravel PHP Full-Stack Engineer: Build Modern Web Apps
InnovationTeam
Riad
Presencial
SAR 80.000 - 100.000
Hace 30+ días
Laravel PHP Full Stack Software Engineer
InnovationTeam
Riad
Presencial
SAR 80.000 - 100.000
Hace 30+ días
Senior Data Architect
Giza Arabia
Riad
Presencial
SAR 90.000 - 130.000
Jornada completa
Hace 30+ días
Descripción de la vacante
A leading technology firm in the Riyadh Region is seeking an experienced Data Architect to lead the design of robust data architectures and enhance enterprise-wide data models. The ideal candidate will oversee data integration efforts and communicate effectively with stakeholders. Applicants should have strong expertise in database technologies, big data platforms, and a commitment to continuous learning in emerging data trends.
Responsabilidades
- Lead the design and implementation of robust data architectures.
- Develop and maintain enterprise-wide data models.
- Define and enforce data architecture standards.
- Collaborate with stakeholders to understand data requirements.
- Oversee data integration efforts, including ETL/ELT processes.
- Optimize data storage and retrieval methods.
- Evaluate and select technologies for data needs.
- Conduct audits to ensure data integrity and compliance.
- Mentor junior team members in data architecture principles.
- Stay updated on emerging data technologies and trends.
Conocimientos
Data Architecture and Modeling
Database Technologies
Big Data and Cloud Platforms
ETL/ELT and Data Integration
Data Governance and Security
Performance Optimization
Enterprise Architecture Alignment
Analytical and Problem-Solving
Communication and Collaboration
Continuous Learning
Descripción del empleo
Responsibilities
- Lead the design and implementation of robust, scalable, and secure data architectures.
- Develop and maintain enterprise-wide data models, ensuring alignment with business objectives.
- Define and enforce data architecture standards, best practices, and governance policies.
- Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
- Oversee data integration efforts, including ETL/ELT processes, data pipelines, and data warehousing.
- Optimize data storage and retrieval methods for performance, scalability, and cost-effectiveness.
- Evaluate and select appropriate technologies and platforms to support current and future data needs.
- Conduct regular audits and reviews to ensure data integrity, security, and compliance.
- Mentor and guide junior team members in data architecture principles and methodologies.
- Stay updated on emerging data technologies and trends, driving innovation within the organization.
Skills
- Data Architecture and Modeling: In-depth knowledge of data modeling (conceptual, logical, physical), and experience defining scalable and efficient architectures.
- Database Technologies: Strong expertise in relational and NoSQL databases (e.g., Oracle, SQL Server, PostgreSQL, MongoDB, Cassandra).
- Big Data and Cloud Platforms: Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP) for data storage and processing.
- ETL/ELT and Data Integration: Proficiency in ETL/ELT tools and techniques for integrating, transforming, and migrating data across environments.
- Data Governance and Security: Understanding of data governance frameworks, data quality principles, privacy regulations (GDPR, CCPA), and best practices for securing data.
- Performance Optimization: Skills in tuning data systems, improving query performance, and designing data structures that scale.
- Enterprise Architecture Alignment: Ability to align data architectures with broader enterprise architecture goals and business strategies.
- Analytical and Problem-Solving: Strong analytical skills for diagnosing architectural issues, evaluating solutions, and implementing improvements.
- Communication and Collaboration: Excellent communication abilities to work with cross-functional teams, gather requirements, and present complex architectures to stakeholders.
- Continuous Learning: Commitment to staying updated with emerging data technologies, industry trends, and architectural best practices.
* El índice de referencia salarialse calcula en base a los salarios que ofrecen los líderes de mercado en los correspondientes sectores. Su función es guiar a los miembros Prémium a la hora de evaluar las distintas ofertas disponibles y de negociar el sueldo. El índice de referencia no es el salario indicado directamente por la empresa en particular, que podría ser muy superior o inferior.