Denodo Lead

Job Title: Denodo Tech Lead

Location: Hybrid (Newark, NJ) / Remote

Duration: 6 months (Possibility of Conversion)

Job Description:

• 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 Data Engineers, AI Engineers, LLMOps Engineers, and platform teams.

Denod& 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:
• AWS services
• Analytics platforms
• Data Catalogs
• AI platforms
• Enterprise APIs
• Support semantic consumption for AI agents and business applications.
• Integration & APIs
• Design API-first data product architectures.
• Integrate Denodo with:
• AWS services
• Analytics platforms
• Data Catalogs
• AI platforms
• 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:
• Denodo
• AWS (Lambda, Glue, ETL, APIs)
• Data Modeling
• Ontologies
• Data Governance
• API Design
• Experience with:
• Generative AI
• Agentic AI frameworks
• LLMOps
• 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.