Senior Data Solution Architect — BigQuery & AI Analytics

EPAM Systems; México; On-site; MXN 900,000 - 1,500,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling and certification courses

LinkedIn Learning access

Global career opportunities

Job summary

EPAM Systems is seeking a 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 while partnering with engineering to deliver governed, reliable datasets.

Responsibilities include defining target data architecture across multiple domains, creating source-to-target mappings, and establishing governance standards.

Qualifications

• 3+ years of data architecture experience designing analytical platforms on Google Cloud Platform.
• Proven ability to lead senior engineers and align stakeholders.
• Experience delivering architecture artifacts and mappings.
• Hands-on BigQuery modeling and optimization experience.
• Strong SQL skills for data modeling and cost-efficient queries.
• Hands-on Python for data services or API integrations.
• Proficient communication translating requirements into specs.
• Upper-Intermediate English (B2) for collaboration.

Responsibilities

• Define target data architecture for cost, usage, resource, contract, finance, metadata, and operational datasets.
• Design conceptual, logical, and physical data models for BigQuery analytical workloads.
• Create source-to-target mappings, transformation rules, data contracts, lineage documentation, and business definitions.
• Establish canonical entities, domain models, semantic datasets, and reusable dimensions for analytics and agent use cases.
• Define data layer standards across raw, standardized, curated, and analytics-ready zones with clear ownership boundaries.
• Design integration patterns for APIs, files, databases, event streams, and semi-structured sources.
• Set BigQuery standards for partitioning, clustering, materialized views, schema conventions, and query optimization.
• Review SQL, schemas, and pipeline designs to improve scalability, maintainability, performance, and cost efficiency.
• Partner with engineering to define ingestion, transformation, enrichment, reconciliation, and data-quality patterns.
• Establish governance standards for lineage, ownership, access control, retention, classification, freshness, and quality.
• Coordinate architecture and code reviews and provide technical direction across the data domain.

Skills

Data architecture

Advanced SQL

Python

Communication skills

English (B2)

Data modeling

Leadership

Tools

Google Cloud BigQuery

Job description

EPAM Systems is seeking a 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 while partnering with engineering to deliver governed, reliable datasets.

Responsibilities include defining target data architecture across multiple domains, creating source-to-target mappings, and establishing governance standards.