Denodo Self Service Data Platform Engineer

About the Role

Datamatics Technologies is seeking an experienced Denodo Self-Service Data Platform Engineer to join their team in Dammam, Eastern region. This full-time role involves designing, developing, and supporting enterprise data virtualization solutions. The engineer will focus on enabling business users and analysts to access trusted, secure, and governed data through scalable self-service analytics platforms.

Key Responsibilities

• Design and develop self-service data products, reusable data services, and virtual views using Denodo.
• Develop and maintain Denodo Virtual DataPort (VDP) views, logical data models, and semantic layers.
• Integrate data from various sources including databases, cloud platforms, APIs, ERP systems, and SaaS applications.
• Optimize query performance, caching strategies, and the overall data virtualization architecture.
• Implement data transformation, data quality rules, and data abstraction layers.
• Manage data governance, role-based access control (RBAC), data masking, metadata, data cataloging, and lineage.
• Integrate Denodo with leading BI platforms such as Power BI, Tableau, and Qlik.
• Monitor platform performance, troubleshoot issues, and provide support for upgrades and releases.
• Prepare technical documentation, data dictionaries, operational procedures, and user training materials.
• Provide Level 2/Level 3 support and collaborate with business and technical teams to enhance self-service analytics capabilities.

Key Deliverables

• Reusable Denodo virtual views, datasets, and data services.
• Optimized and scalable data virtualization solutions.
• Secure and governed enterprise data access.
• Comprehensive data catalog, metadata, and lineage documentation.
• Improved data accessibility and reporting efficiency.
• Increased adoption of self-service analytics capabilities across the organization.

Qualifications and Experience

Candidates should possess 5-10 years of relevant experience in data virtualization and platform engineering, specifically with Denodo. The role requires a strong understanding of data architecture, data governance principles, and integration with various data sources and BI tools.