Data Architect

About Solutyics

Solutyics is a technology-driven organization committed to leveraging Data and Artificial Intelligence to unlock innovative solutions across various sectors. The company focuses on AI, Machine Learning, Data Engineering, and Advanced Data Analytics, aiming to address complex challenges while fostering long-term client success. Solutyics prioritizes transparency, integrity, and meaningful collaboration with clients to deliver tailored, impactful data-driven outcomes.

Role Overview

We are seeking a dedicated Data Architect for a full-time, on-site position based in Doha, Qatar. The Data Architect will be responsible for designing and maintaining comprehensive enterprise data architectures that support analytics, AI initiatives, and informed business decisions. Key duties involve defining effective data models, establishing data governance protocols, and working with engineering teams to develop scalable data pipelines and data warehousing solutions.

Key Responsibilities

• Design and implement enterprise data architectures that ensure data is structured, integrated, and easily accessible.
• Define data models and establish governance standards to maintain data quality and compliance.
• Collaborate with engineering teams to create scalable and efficient data pipelines and warehousing solutions.
• Optimize Extract, Transform, Load (ETL) processes for enhanced data handling efficiency.
• Document data flows comprehensively to support transparency and maintenance.
• Partner with various stakeholders to translate business needs into robust technical designs.
• Ensure all data solutions align with industry best practices pertaining to security, performance, and compliance.

Qualifications and Skills

• Proven expertise in Data Architecture and Data Modeling to build scalable and well-structured data systems.
• Hands-on experience with Data Warehousing techniques and optimizing ETL processes.
• Strong background in Data Governance to enforce data standards, quality, and compliance.
• Familiarity with modern data platforms including cloud-based warehouses, big data ecosystems, relational and NoSQL databases.
• Excellent analytical, problem-solving, and communication skills ensuring effective collaboration with both technical and non-technical teams.
• Educational background includes a bachelor’s or master’s degree in Computer Science, Information Systems, Data Engineering, or a related discipline, or equivalent practical experience.
• Experience or knowledge in AI, Machine Learning, or advanced analytics contexts, alongside an understanding of data security and privacy standards is advantageous.