Introduction A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. Youll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, youll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience Your role and responsibilities Role Overview : We are looking for an experienced Denodo SME to design, implement, and optimize data virtualization solutions using Denodo as the enterprise semantic and access layer over a Cloudera-based data lakehouse. The ideal candidate will lead the integration of structured and semi-structured data across systems, enabling unified access for analytics, BI, and operational use cases. Key Responsibilities: Design and deploy the Denodo Platform for data virtualization over Cloudera, RDBMS, APIs, and external data sources. Define logical data models , derived views, and metadata mappings across layers (integration, business, presentation). Connect to Cloudera Hive, Impala, Apache Iceberg , Oracle, and other on-prem/cloud sources. Publish REST/SOAP APIs, JDBC/ODBC endpoints for downstream analytics and applications. Tune virtual views, caching strategies, and federation techniques to meet performance SLAs for high-volume data access. Implement Denodo smart query acceleration , usage monitoring, and access governance. Configure role-based access control (RBAC) , row/column-level security, and integrate with enterprise identity providers (LDAP, Kerberos, SSO). Work with data governance teams to align Denodo with enterprise metadata catalogs (e.g., Apache Atlas, Talend). Required education Bachelors Degree Preferred education Masters Degree Required technical and professional expertise Skills Required : 8-12 years in data engineering, with 4+ years of hands-on experience in Denodo Platform . Strong experience integrating RDBMS (Oracle, SQL Server), Cloudera CDP (Hive, Iceberg), and REST/SOAP APIs. Denodo Admin Tool, VQL, Scheduler, Data Catalog SQL, Shell scripting, basic Python (preferred). Deep understanding of query optimization , caching, memory management, and federation principles. Experience implementing data security, masking, and user access control in Denodo.
