Denodo Tech Lead

TechClub Inc; New Jersey; On-site; USD 150,000 - 210,000; Full time

Job summary

TechClub Inc in New Jersey is seeking a senior Data Architect/Engineer to lead the design and delivery of enterprise data products using Denodo virtualization and semantic modeling.

You will define canonical models, ontologies, business glossaries, and governance frameworks, establish architecture standards, and provide technical leadership to data and AI teams. The role involves building Virtual Data Products and integrating with AWS services, analytics platforms, and data catalogs.

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 AWS, Data Modeling, Ontologies, Data Governance, API Design.
• Experience with Generative AI, Agentic AI frameworks, LLMOps, and stakeholder engagement.

Responsibilities

• Lead architecture and development of enterprise data products using Denodo virtualization and semantic modeling.
• Define and govern canonical 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.
• 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.

Skills

Data engineering

Data architecture

Analytics engineering

Data modeling

Ontologies

Data governance

API design

LLMOps

AI frameworks

Stakeholder engagement

Semantic modeling

Tools

Denodo virtualization

AWS

OpenAI platforms

Bedrock

Anthropic

Azure OpenAI

Data Catalogs

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

• Integrate Denodo with:
  • AWS services
  • Analytics platforms
  • Data Catalogs
  • AI platforms
• 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:
  • 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

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