Senior Data Solution Architect for Analytics & AI

EPAM Systems, Inc.; México; A distancia; MXN 900.000 - 1.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling and certification courses

Global career opportunities

Descripción de la vacante

EPAM Systems, Inc. seeks a hands-on Senior Data Solution Architect to design and validate a production-grade data foundation for analytics and AI-agent consumption. You will shape data models, integration patterns, and BigQuery standards in collaboration with engineering.

You will drive governance, data quality, and cost-efficient data pipelines, review architectures, and mentor engineers while aligning with stakeholders across multi-source data platforms and cloud-native services.

Formación

• 3+ years of data architecture experience designing analytical platforms on Google Cloud Platform.
• Strong SQL skills and hands-on BigQuery modeling and optimization.
• Experience with data governance, lineage, and access control.
• Excellent communication to translate requirements into specs.
• English proficiency at B2 or higher.

Responsabilidades

• Define target data architecture for analytics datasets and AI-use cases.
• Create conceptual, logical, and physical data models for BigQuery workloads.
• Design source-to-target mappings, data contracts, and lineage documentation.
• Collaborate with engineering on ingestion, transformation, and data quality patterns.
• Establish governance standards for lineage, ownership, access control, and retention.

Conocimientos

Data architecture

BigQuery

SQL

Python

Data modeling

Data governance

Stakeholder management

English (B2)

Educación

Bachelor's in CS or related field

Descripción del empleo

EPAM Systems, Inc. seeks a hands-on Senior Data Solution Architect to design and validate a production-grade data foundation for analytics and AI-agent consumption. You will shape data models, integration patterns, and BigQuery standards in collaboration with engineering.

You will drive governance, data quality, and cost-efficient data pipelines, review architectures, and mentor engineers while aligning with stakeholders across multi-source data platforms and cloud-native services.