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JSR Tech Consulting
Lead Data Engineer
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Job Description
Lead Data Engineer at JSR Tech Consulting Lead Data Engineer at JSR Tech Consulting in Maplewood, New Jersey Posted in 9 days ago.
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full-time 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.