Job Description

• 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.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 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: o AWS services o Analytics platforms o Data Catalogs o AI platforms o Enterprise APIs
• Support semantic consumption for AI agents and business applications. Integration & APIs
• Design API-first data product architectures.
• Integrate Denodo with: o AWS services o Analytics platforms o Data Catalogs o AI platforms o 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: o Denodo o AWS (Lambda, Glue, ETL, APIs) o Data Modeling o Ontologies o Data Governance o API Design
• Experience with: o Generative AI o Agentic AI frameworks o LLMOps o 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.