> Markdown version of [/jobs/ext/2379538-data-science-tech-lead](https://www.wearedevelopers.com/jobs/ext/2379538-data-science-tech-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Science Tech Lead

- **Company:** Spectraforce
- **Location:** Newark, NJ, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Business Software, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Metadata Repositories, Generative AI, Data Layers, AI Platforms, Enterprise Integration, Data Management, Machine Learning Operations, Virtual Agents, Api Design
- **Published:** August 20, 2026
- **Apply:** http://leoforce.us/Careers/Spectraforce/JobDetails.html?jobid=2a651812-0489-4a65-8d45-69725f3d99df&OrgId=1&UserId=313

## About the Role

* 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.

## 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.


## Related Videos

- [Why Your AI Agent Keeps Hallucinating Your Data: Building Deterministic Context Layers](https://www.wearedevelopers.com/videos/2055-why-your-ai-agent-keeps-hallucinating-your-data-building-deterministic-context-layers)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how)
- [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started)
- [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering)
- [How to govern Vibe Coding for the Enterprise](https://www.wearedevelopers.com/videos/100290-how-to-govern-vibe-coding-for-the-enterprise)

## Related Articles

- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)