Denodo Lead

Job Description

Job Title: Denodo Tech Lead

Location: Hybrid (Newark, NJ) / Remote

Duration: 6 months (Possibility of Conversion)

Job Description:

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• Lead architecture and development of enterprise data products using Denodo virtualization and semantic modeling.
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• Define and govern canonical business models, ontologies, business glossaries, and semantic layers.
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• Establish architecture standards, naming conventions, governance frameworks, and development best practices.
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• Provide technical leadership Data Engineers, AI Engineers, LLMOps Engineers, and platform teams.
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Denod& Data Product:

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• Design and implement Virtual Data Products
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• Develop complex joins, unions, aggregations, and business transformations across multiple source systems.
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• Define reusable semantic-layer patterns that support reporting, analytics, APIs, and AI agents.
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• Optimize Denodo performance through caching, query pushdown, aggregation strategies, and virtualization best practices.
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Integration & APIs

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• Design API-first data product architectures.
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• Integrate Denodo with:
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• AWS services
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• Analytics platforms
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• Data Catalogs
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• AI platforms
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• Enterprise APIs
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• Support semantic consumption for AI agents and business applications.
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• Integration & APIs
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• Design API-first data product architectures.
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• Integrate Denodo with:
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• AWS services
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• Analytics platforms
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• Data Catalogs
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• AI platforms
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• Enterprise APIs
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• Support semantic consumption for AI agents and business applications.
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Required Qualifications

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• 10+ years in Data Engineering, Data Architecture, or Analytics Engineering.
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• 5+ years of Denodo implementation experience.
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• Experience developing enterprise semantic layers and virtualized data products.
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• Strong knowledge of:
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• Denodo
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• AWS (Lambda, Glue, ETL, APIs)
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• Data Modeling
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• Ontologies
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• Data Governance
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• API Design
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• Experience with:
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• Generative AI
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• Agentic AI frameworks
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• LLMOps
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• Strong stakeholder engagement and consulting skills.
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Preferred Qualifications

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• Experience designing AI-ready data platforms.
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• Knowledge of AI Governance standards.
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• Familiarity with Bedrock, OpenAI, Anthropic, Azure OpenAI, or similar platforms.
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• Experience implementing enterprise metadata, lineage, and semantic governance frameworks.
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