Denodo Tech Lead

TechDigital Group; Newark (NJ); On-site; USD 180,000 - 240,000; Full time

Job summary

TechDigital Group in Newark, NJ, seeks a senior Data Architect to lead architecture and development of enterprise data products using Denodo virtualization and semantic modeling. You will define canonical models, ontologies, glossaries and semantic layers while establishing architecture standards and governance.

You will provide technical leadership to Data Engineers, AI Engineers, LLMOps Engineers, and platform teams, and design API-Financial product architectures with Denodo integration to AWS

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, 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, governance frameworks, and development best practices.
• Provide technical leadership to Data Engineers, AI Engineers, LLMOps Engineers, and platform teams.
• Design API-Financial product architectures and integrate Denodo with AWS services, analytics platforms, data catalogs, AI platforms and enterprise APIs.
• Support semantic consumption for AI agents and business applications.

Skills

Denodo

AWS

Data Modeling

Ontologies

Data Governance

API Design

Stakeholder mgmt

Generative AI

LLMOps

Leadership

Tools

Denodo

AWS (Lambda, Glue)

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.

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-Financial 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-Financial 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.