Lead Data Engineer (Newark)
$80 - $95 per hourJSR Tech Consulting
Data Science Tech Lead
Newark, NJ | Hybrid (3 Days/Week) | Right to Hire | $80–$95/hour (based on experience)
We are seeking a Data Science Tech Lead to join a major financial firm based in Newark, NJ. This is a right-to-hire opportunity for a hands-on technical leader who will drive the architecture and development of enterprise data products using Denodo virtualization and semantic modeling.
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.
Denodo & Data Products
- 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 Denodo performance through caching, query pushdown, aggregation strategies, and virtualization best practices.
Integration & APIs
- Design API-first data product architectures.
- Integrate Denodo with AWS services, analytics platforms, data catalogs, AI platforms, and 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 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, and API design.
- Experience with Generative AI, agentic AI frameworks, and 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.
Vacancy posted 5 days ago
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