AI Platform Data Architect: Analytics & Governance

EPAM Systems, Inc.; México; A distancia; MXN 900.000 - 1.200.000; Jornada completa

Descripción de la vacante

EPAM Systems, Inc. is seeking a hands-on Data Architect to design and evolve the data foundation for a production AI agent platform focused on cost optimization, anomaly detection, and automated insights.

You will define architecture, models, and governed datasets that enable reliable analytics and safe agent access, partnering with data engineering and AI teams to ensure scalable, secure data flows across cost, usage, inventory, and finance domains.

Formación

• 2+ years data architecture or data engineering experience on analytics platforms.
• Strong Google Cloud Platform skills including BigQuery and core integration services.
• Hands-on Python skills for data services, POCs, or API-based integrations.
• Strong data governance knowledge including lineage, access control, and retention.

Responsabilidades

• Define target data architecture across cost, usage, inventory, contract, finance, metadata, and operational domains.
• Design conceptual, logical, and physical data models for analytical workloads.
• Create source-to-target mappings, transformation rules, data contracts, lineage, and business definitions.
• Establish raw, standardized, curated, and analytics-ready data layers with clear ownership boundaries.
• Build canonical entities, domain models, semantic datasets, and reusable dimensions for reporting and agent use cases.
• Design integration patterns for APIs, files, databases, event streams, and semi-structured sources.
• Collaborate with data engineering to define ingestion, transformation, enrichment, reconciliation, and data quality patterns.
• Collaborate with AI engineering to define safe, discoverable, read-only datasets and agent access patterns.

Conocimientos

Data architecture

Data modeling

SQL

BigQuery

Python

Data governance

Stakeholder management

Communications

Herramientas

BigQuery

REST APIs

Descripción del empleo

EPAM Systems, Inc. is seeking a hands-on Data Architect to design and evolve the data foundation for a production AI agent platform focused on cost optimization, anomaly detection, and automated insights.

You will define architecture, models, and governed datasets that enable reliable analytics and safe agent access, partnering with data engineering and AI teams to ensure scalable, secure data flows across cost, usage, inventory, and finance domains.