Data Architect

Master-Works; Riyad Al Khabra; On-site; SAR 300,000 - 400,000; Full time

Job summary

An innovative firm is seeking a skilled Data Architect to design robust data models and ensure compliance with data governance standards. In this pivotal role, you will leverage your expertise in cloud computing and big data technologies to create efficient data solutions. Collaborating closely with various stakeholders, you will translate complex business requirements into technical specifications. If you are passionate about data and eager to contribute to transformative projects, this is the perfect opportunity for you to make a significant impact in a dynamic environment.

Qualifications

• Proficient in designing data models that reflect complex business scenarios.
• Skilled in ensuring data management practices meet legal standards.

Responsibilities

• Design comprehensive data models for complex business scenarios.
• Ensure data governance and compliance with evolving regulations.

Skills

Data modeling and design

Data governance and compliance

Cloud computing expertise

Proficiency with big data technologies

ML and AI integration

Interdisciplinary collaboration

Job description

1. Data modeling and design: Data architects must have the ability to design comprehensive data models that reflect complex business scenarios. They must be proficient in conceptual, logical, and physical model creation. This is the core skill of the data architect and the most requested skill in data architect job descriptions. This often includes SQL development and database administration.
2. Data governance and compliance: With regulations continuing to evolve, data architects must ensure their organization’s data management practices meet stringent legal and ethical standards. They need skills to create frameworks that maintain data quality, security, and privacy.
3. Cloud computing expertise: Organizations are continuing to migrate to cloud-based solutions, making understanding of cloud services, architectures, and storage solutions essential. They must also understand cloud security, hybrid cloud environments, and cost-efficient infrastructure design.
4. Proficiency with big data technologies: Data architects must understand how to implement big data solutions to stream data and real-time analytics.
5. ML and AI integration: They must understand how to build data pipelines that feed into AI algorithms and how to structure databases for ML workloads.
6. Interdisciplinary collaboration: Data architects must be able to work closely with stakeholders including business leaders, IT professionals, data scientists, and developers. They also have to translate business requirements into technical specifications, and vice versa.