Enterprise Data Architect

About the role

Devoteam is hiring an Enterprise Data Architect in Riyadh for its Data & Intelligence business unit. The data architect translates business requirements into technology requirements, defines data standards and principles, and designs the enterprise data management framework that covers planning, creation, maintenance, use, archiving, retrieval, control and purging of data. The role is full-time and sits at mid-senior level.

Key responsibilities

• Facilitate the roadmap and vision for information delivery and management, including the enterprise data warehouse, big data, BI & analytics, content management and data management.
• Translate business requirements into technical specifications for data streams, integrations, transformations, databases and data warehouses.
• Work with data engineers to design and deliver solutions aligned with the information vision and strategy.
• Define the data architecture framework, standards and principles, including modeling, metadata, security, reference data (product codes, client categories) and master data (clients, vendors, materials, employees).
• Define data architecture artifacts such as conceptual, logical and physical data models, integration catalogues, reference architecture and data flows.
• Advise, guide and authorise major plans and procedures, and take part in goal setting, interim and year-end reviews.
• Coordinate with departments, stakeholders, partners and external vendors.

Required profile

• 5-8 years of experience in data architecture.
• Bachelor's degree in Computer Science or Information Systems.
• English and Arabic.
• Solid understanding of Saudi Arabia's national regulatory requirements (NDI, NDMO, QIYAS, NORA) and practical know-how to ensure compliance.

Required skills

• Data modeling with ERwin and ARIS.
• ETL/ELT tools and modern storage solutions such as data lakes and lakehouses.
• Advanced SQL, relational databases and distributed systems such as SingleStore and Vitess.
• NoSQL databases (Cassandra, MongoDB, Neo4j, Elasticsearch) and the ELK stack.
• Business process modeling and data integration patterns.