Data Engineering/Data Architecture (Denodo implementation Exp)
W2 | HYBRID ROLE Position Title: Data Engineering/Data Architecture (Denodo implementation Exp)Location: Jersey City, NJDuration: 12+ Months ContractPosition Type- W2 Role Exp Level- 10+Years Req Skills- Data Engineering, Data Architecture, or Analytics Engineering, Denodo implementation, Denodo, AWS ServicesRequired Qualifications10+ years in Data Engineering, Data Architecture, or Analytics Engineering.5+ years of Denodo implementation experience.Experience developing enterprise semantic layers and virtualized data products.Job DescriptionLead 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 ProductDesign and implement Virtual Data ProductsDevelop 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 & APIsDesign API-first data product architecturesIntegrate Denodo with:AWS servicesAnalytics platformsData CatalogsAI platformsEnterprise APISupport semantic consumption for AI agents and business applications.Integration & APIsAPI-first data product architectures.Integrate Denodo with:AWS servicesAnalytics platformsData CatalogsAI platformsEnterprise APIsSupport semantic consumption for AI agents and business applications.Strong knowledge of:DenodoAWS (Lambda, Glue, ETL, APIs)Data ModelingOntologiesData GovernanceAPI DesignExperience with:Generative AIAgentic AI frameworksLLMOpsStrong stakeholder engagement and consulting skills.Preferred QualificationsExperience 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.