Denodo Tech Lead / Data Scientist

Spectraforce Technologies; Newark (NJ); Hybrid; USD 150,000 - 230,000; Full time

Job summary

Spectraforce Technologies is seeking a Denodo Tech Lead / Data Scientist to lead architecture and development of enterprise data products in a hybrid Newark, NJ environment with remote options. This role requires 10+ years in data engineering/architecture and deep Denodo expertise.

You will define canonical models, governance, and semantic layers while mentoring data and AI engineers, and drive API-first data product architectures across AWS, analytics platforms, data catalogs, and AI platforms.

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.

Responsibilities

• 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 API-first data product architectures and integrate with AWS services, analytics platforms, data catalogs, AI platforms, and enterprise APIs.

Skills

Data Engineering

Data Architecture

Analytics Engineering

Stakeholder engagement

Consulting

Generative AI

LLMOps

API Design

Tools

Denodo

AWS

Data Modeling

Ontologies

Data Governance

APIs

Job description

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.