Senior Data Engineer: AI-Driven Data Platform Architect

Publicis Group; Ciudad de México; Híbrido; MXN 900.000 - 1.400.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation and benefits

Flexible work-life balance

Comprehensive health benefits

Descripción de la vacante

Publicis Sapient is seeking a Senior Data Engineer to design, build, and modernize enterprise-scale data platforms across cloud environments. You will own technical decisions, architecture designs, and data services, with hands-on implementation and leadership across teams.

The role emphasizes AI-enabled data products, governance, and scalable architectures in cloud-native environments. Strong Python/SQL, Spark, and cloud experience are essential.

Formación

• 6+ years in Data Engineering or related fields with ownership of production systems.
• Advanced Python and SQL development experience in enterprise environments.
• Strong hands-on experience with Spark or PySpark for large-scale processing.
• Deep expertise in AWS or Azure and practical experience with a second cloud ecosystem.
• Strong data modeling including Star/Snowflake schemas and lakehouse patterns.
• Experience CI/CD, automated testing, and deployment practices for data platforms.
• Proven ability to design, integrate, or operate AI/LLM-enabled data solutions.

Responsabilidades

• Design and deliver enterprise data platforms end-to-end, from ingestion to production-ready services.
• Build ingestion, replication, and transformation frameworks across distributed source systems.
• Implement scalable lakehouse architectures supporting analytics and downstream apps.
• Design dimensional and historical data models with auditability and regulatory support.
• Analyze legacy systems and contribute to target-state architectures and governance models.
• Develop APIs and reusable data services exposing curated data products.
• Lead AI-enabled data services using LLMs, embeddings, vector databases, and workflows.
• Establish CI/CD, testing strategies, observability, and metadata management.
• Lead technical design discussions and influence architecture decisions across teams.

Conocimientos

Python

SQL

Data Modeling

Spark / PySpark

CI/CD for Data Platforms

API Design

Herramientas

Spark

PySpark

FastAPI

AWS

Azure

CI/CD Pipelines

Descripción del empleo

Publicis Sapient is seeking a Senior Data Engineer to design, build, and modernize enterprise-scale data platforms across cloud environments. You will own technical decisions, architecture designs, and data services, with hands-on implementation and leadership across teams.

The role emphasizes AI-enabled data products, governance, and scalable architectures in cloud-native environments. Strong Python/SQL, Spark, and cloud experience are essential.