Denodo Tech Lead & Data Scientist (Hybrid/Remote)

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

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.