Senior Data Platform Architect & AI Systems Lead

Nagarro; Región Centro; Presencial; MXN 900.000 - 1.400.000; Jornada completa

Descripción de la vacante

Nagarro is seeking a senior Data/solution Architect to define and drive the KM data platform architecture across ingestion, storage, transformation, security, and usage. You will translate long-term roadmaps into phased plans and set standards for data modeling, pipelines, and catalog registration.

Lead architecture reviews with data engineering, security, product teams, and executives, owning non-functional requirements such as scalability and cost.

Formación

• 8+ years of experience in data/solution architecture roles.
• Hands-on or architectural Databricks/Lakehouse experience.
• Unity Catalog governance, data product design, and security classification models.
• Experience with AI/LLM-driven retrieval-augmented generation, vector search.
• Strong stakeholder management across engineering, product, legal/privacy, and executives.
• Experience leading architecture reviews and setting technical standards for growing teams.

Responsabilidades

• Define and maintain the KM data platform architecture (ingestion, storage, transformation, security, and usage).
• Translate multi-year roadmaps into phased architectural plans for pilot and scale.
• Set standards for data modeling, pipelines, and catalog registration with stakeholders.
• Evaluate components and integration patterns (Unity Catalog vs alternatives).
• Lead architecture reviews and ensure alignment with data eng, security, and product teams.
• Own non-functional requirements: scalability, performance, cost, and reliability.
• Be the primary technical contact for architecture workshops and planning sessions.

Conocimientos

Azure Data Factory

Data Modeling

Databricks

Unity Catalog

Herramientas

Azure Databricks

Descripción del empleo

Nagarro is seeking a senior Data/solution Architect to define and drive the KM data platform architecture across ingestion, storage, transformation, security, and usage. You will translate long-term roadmaps into phased plans and set standards for data modeling, pipelines, and catalog registration.

Lead architecture reviews with data engineering, security, product teams, and executives, owning non-functional requirements such as scalability and cost.