About this opportunity
Spectraforce Technologies lists this Denodo Tech Lead / Data Scientist opportunity in newark, New Jersey. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Job Title: Denodo Tech Lead / Data Scientist
Location: Hybrid (Newark, NJ) / Remote
Duration: 6 months (Possibility of Conversion)
Job Description: Lead architecture and development of enterprise data products using Denodvirtualization 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 tData 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 Denodperformance through caching, query pushdown, aggregation strategies, and virtualization best practices.
Integration & APIs Design API-first data product architectures.
Integrate Denodwith:
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 Denodwith:
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 Denodimplementation 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.
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.