Only W2- Denodo Tech Lead

ReqRoute,Inc; Newark (NJ); Hybrid; USD 140,000 - 190,000; Full time

Job summary

ReqRoute,Inc seeks a Denovo Tech Lead to guide architecture and development of enterprise data products, leveraging Denovo virtualization and semantic modeling. You will define canonical models and governance, set development standards, and lead cross-functional teams including data and AI engineers.

Responsibilities include designing API-first architectures, integrating with AWS services, data catalogs, analytics platforms, and AI platforms to enable semantic consumption for AI agents and

Qualifications

• 10+ years in Data Engineering, Data Architecture, or Analytics Engineering.
• 5+ years of Denovo implementation experience.
• Experience developing enterprise semantic layers and virtualized data products.

Responsibilities

• Lead architecture and development of enterprise data products using Denovo 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 API-first data product architectures and integrate Denovo with AWS services, analytics platforms, data catalogs, AI platforms, and enterprise APIs.

Skills

Denovo

AWS

Data Modeling

Ontologies

Data Governance

API Design

Generative AI

LLMOps

Stakeholder Engagement

Architectural Leadership

Tools

AWS

Denovo

Job description

Job title: Denovo Tech Lead

Only W2 (No C2C)

Local to NJ (Hybrid mode)

Lead architecture and development of enterprise data products using Denovo 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.

Denovo & 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 Denovo performance through caching, query pushdown, aggregation strategies, and virtualization best practices.

Integration & APIs

Design API-first data product architectures.

Integrate Denovo 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 Denovo 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 Denovo implementation experience.

Experience developing enterprise semantic layers and virtualized data products.

Strong knowledge of:

• Denovo
• 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.