Job title: Denodo Tech Lead
Only W2 (No C2C)
Local to NJ (Hybrid mode)
• Lead architecture and development of enterprise data products using Denodo virtualization and semantic modeling.
• Define and govern canonical business models, ontologies, business glossaries, and semantic layers.
• Establish architecture standards, naming conventions, governance frameworks, and development best practices.
• Provide technical leadership to Data Engineers, AI Engineers, LLMOps Engineers, and platform teams.
Denodo & Data Product
• Design and implement Virtual Data Products
• Develop complex joins, unions, aggregations, and business transformations across multiple source systems.
• Define reusable semantic-layer patterns that support reporting, analytics, APIs, and AI agents.
• Optimize Denodo performance through caching, query pushdown, aggregation strategies, and virtualization best practices.
Integration & APIs
• Design API-first data product architectures.
• Integrate Denodo with:
o AWS services
o Analytics platforms
o Data Catalogs
o AI platforms
o Enterprise APIs
• Support semantic consumption for AI agents and business applications.
Integration & APIs
• Design API-first data product architectures.
• Integrate Denodo with:
o AWS services
o Analytics platforms
o Data Catalogs
o AI platforms
o Enterprise APIs
• Support semantic consumption for AI agents and business applications.
Required Qualifications
• 10+ years in Data Engineering, Data Architecture, or Analytics Engineering.
• 5+ years of Denodo implementation experience.
• Experience developing enterprise semantic layers and virtualized data products.
• Strong knowledge of:
o Denodo
o AWS (Lambda, Glue, ETL, APIs)
o Data Modeling
o Ontologies
o Data Governance
o API Design
• Experience with:
o Generative AI
o Agentic AI frameworks
o LLMOps
o Strong stakeholder engagement and consulting skills.
Preferred Qualifications
• Experience designing AI-ready data platforms.
• Knowledge of AI Governance standards.
• Familiarity with Bedrock, OpenAI, Anthropic, Azure OpenAI, or similar platforms.
• Experience implementing enterprise metadata, lineage, and semantic governance frameworks.
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