FBS Data Information Architect

Capgemini; Ciudad de México; Presencial; MXN 800.000 - 1.200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Salario competitivo y bonificaciones de rendimiento

Beneficios completos, incluyendo seguro de salud y pensiones

Oportunidades de desarrollo y formación profesional

Arreglos de trabajo flexibles

Cultura laboral inclusiva dentro de un grupo global

Descripción de la vacante

Capgemini busca un Arquitecto de Información de Datos para diseñar e implementar soluciones de datos en México. Este puesto es clave para el análisis, la reportística y la inteligencia artificial, con un enfoque en la creación de arquitecturas de datos escalables y eficientes para experiencias personalizadas. Se requieren expertos en AWS, Snowflake, y Python con una sólida comprensión de plataformas de datos en la nube.

Formación

• 4+ años en Arquitectura de Datos o Ingeniería de Datos.
• Experiencia sólida en AWS, Snowflake, y Azure.
• Conocimiento avanzado de modelado de datos y marcos de datos modernos.

Responsabilidades

• Desarrollar una estrategia de datos para maximizar datos como activos.
• Definir y mantener artefactos de arquitectura como modelos de datos y diagramas de flujo.
• Implementar y mantener soluciones de almacenamiento de datos.

Conocimientos

Data Architecture

Data Engineering

AWS

Snowflake

Azure

Python

Descripción del empleo

1 month ago Be among the first 25 applicants

This range is provided by Capgemini. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

MX$1.00/yr - MX$1.00/yr

Our client is one of the United States' largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They serve more than 10 million U.S. households with over 19 million policies across all 50 states, through over 48,000 agents and nearly 18,500 employees. Our client is part of one of the largest Insurance Groups in the world.

This role is for a skilled Data Information Architect to design and implement data solutions supporting Servicing Ops Analytics, Reporting, and AI. Responsibilities include defining, creating, and maintaining architecture artifacts for data solutions, and establishing Data Architecture processes across Data & Analytics in Service Ops. The architect should understand current and future architecture, reporting, and warehousing technologies to develop future state solutions for Service Ops data and analytics.

The ideal candidate will have experience with Snowflake, Python, Azure, and AWS, along with a strong foundation in Big Data and Cloud Platforms. You will develop scalable, efficient data architectures that enable personalized customer experiences, BI, and advanced analytics.

1. Develop a data strategy that maximizes data as an asset, including migration from current to future architecture.
2. Define, create, and maintain architecture artifacts such as data models, data flow diagrams, and data dictionaries.
3. Design and optimize data pipelines from various sources to support BI and analytics.
4. Create data models and flows for personalized customer experiences and omnichannel engagement.
5. Implement and maintain Snowflake data warehousing solutions for large-scale data processing.
6. Support real-time and batch data integration for actionable insights.

Requirements

• 4+ years in Data Architecture or Data Engineering with expertise in AWS, Snowflake, and Azure.
• Strong knowledge of data modeling, ETL/ELT, and modern data frameworks.
• At least 2 years designing scalable data architectures for customer analytics and operations.
• Experience with cloud data platforms (preferably AWS) and Big Data technologies.
• Proficiency with Python for data engineering and scripting.
• Experience building data pipelines and data warehouses like Snowflake and AWS.
• Knowledge of Customer Data Platforms, MDM, and Customer 360 architectures.
• Strong problem-solving skills and ability to work cross-functionally.
• Proficiency in modern data architecture supporting advanced analytics.
• Self-directed with the ability to support multiple teams and systems.
• Expertise in data modeling, documentation, and governance tools.
• Fluent in English.

Other Critical Skills

• Advanced expertise in Data Architecture or Data Engineering with AWS, Snowflake, and Azure.
• Strong understanding of data modeling, ETL/ELT, and modern frameworks.
• Hands-on Python experience for data tasks.
• Deep knowledge of data modeling, documentation, and governance tools.

Benefits

• Competitive salary and performance bonuses.
• Comprehensive benefits, including health insurance and pension.
• Career development and training opportunities.
• Flexible work arrangements.
• Inclusive work culture within a global group.

For more info about us, visit Capgemini.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Other

Industries

• IT Services and IT Consulting

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