Denodo Tech Lead
Innovim Technology Solutions
Title: Denodo Tech Lead
Location: New Jersey (Hybrid)
Duration: Long Term Contract
JD:
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 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 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
Enterprise APIs
Support semantic consumption for AI agents and business applications.
Integration & APIs
Design API-first data product architectures.
Integrate Denodo with:
AWS services
Analytics platforms
Data Catalogs
AI platforms
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
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.
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