Denodo Self-Service Data Platform Engineer

Overview

Seeking a seasoned engineer to design, develop, and maintain enterprise-level data virtualization solutions using Denodo. The role focuses on empowering business users and analysts with trusted, secure, and governed data access via scalable self-service analytics platforms.

Responsibilities

• Create self-service data products, reusable services, and virtual views employing Denodo technology.
• Develop and support Denodo Virtual DataPort views, logical and semantic data modeling layers.
• Integrate data from diverse sources including databases, cloud services, APIs, ERP, and SaaS applications.
• Optimize query performance and caching while enhancing the overall data virtualization architecture.
• Implement data transformation, maintain quality rules, and establish data abstraction layers.
• Manage data governance aspects such as role-based access control, data masking, metadata handling, cataloging, and lineage tracking.
• Integrate Denodo with major BI tools like Power BI, Tableau, and Qlik.
• Monitor system performance, resolve issues, and support platform upgrades.
• Prepare comprehensive technical documentation, data dictionaries, operational guidelines, and training materials.
• Provide advanced Level 2 and Level 3 technical support collaborating with business and technical teams to enhance self-service analytics.

Required Qualifications and Experience

• Minimum of 4 years in Data Engineering, Data Management, or related Analytics Platforms.
• At least 2 years hands-on experience with Denodo Data Virtualization Platform.
• Proficient in Denodo Virtual DataPort and Design Studio for development and maintenance.
• Deep understanding of data virtualization architecture, query optimization, caching, and performance tuning.
• Strong SQL skills, data modeling expertise, and familiarity with ETL/ELT concepts.
• Experience integrating data from relational databases, cloud platforms, APIs, ERP, and SaaS.
• Knowledge of data governance including RBAC, data masking, metadata, cataloging, and lineage.
• Familiarity with BI tools such as Power BI, Tableau, or Qlik.
• Understanding of data transformation, validation, and quality protocols.
• Ability to troubleshoot data virtualization and query performance problems effectively.
• Skilled in creating technical documents, data dictionaries, and training resources.
• Strong analytical, problem-solving, communication, and collaboration abilities.

Desirable Skills

• Certification as Denodo Professional or Developer.
• Experience with Denodo Data Catalog, Scheduler, and Solution Manager tools.
• Knowledge of cloud environments including Microsoft Azure, AWS, or Google Cloud Platform.
• Familiarity with modern data technologies like Azure Data Factory, Databricks, Synapse Analytics, or Snowflake.
• Experience with databases such as Oracle, SQL Server, PostgreSQL, MySQL, Azure SQL, or Amazon Redshift.
• Understanding of REST/SOAP APIs and enterprise integration patterns.
• Experience with advanced analytics platforms like SAP Analytics Cloud.
• Insight into Data Mesh and Data Fabric architectures as well as enterprise governance solutions.
• Exposure to Agile, Scrum, and DevOps workflows.
• Proven experience delivering enterprise-wide self-service analytics solutions in hybrid cloud/on-premises setups.
• Ability to enable stakeholders through training, knowledge transfer, and technical support.

Key Deliverables

• Develop reusable Denodo virtual views and datasets supporting organizational needs.
• Deliver optimized and scalable data virtualization systems.
• Ensure secure and governed data access across enterprise platforms.
• Create and maintain comprehensive data catalog, metadata, and lineage documentation.
• Enhance data accessibility and improve reporting effectiveness.
• Drive higher adoption rates for self-service analytics capabilities.

Additional Information

• Required experience range: 5 to 8 years overall with minimum 4+ years relevant in data engineering and management.
• Minimum 2 years hands-on with Denodo platform.
• Onsite work location in Riyadh, Saudi Arabia.
• Immediate joining preferred.