Senior Data Solution Architect - BigQuery & Data Lead

EPAM Systems, Inc.; Colombia; A distancia; COP 120.000.000 - 210.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Paid time off and sick leave

Upskilling and certification courses

Global career opportunities

Descripción de la vacante

EPAM Systems, Inc. in Colombia seeks a hands-on Senior Data Solution Architect to design a production-grade data foundation for analytics and AI agents.

You will shape data models, integration patterns, and BigQuery standards while partnering with engineering to deliver governed, reliable datasets. The role emphasizes data governance, canonical entities, data layer standards, and collaboration across teams to optimize ingestion, transformation, and quality.

Formación

• 3+ years of data architecture experience designing analytical platforms.
• Experience with multi-source integrations on Google Cloud Platform.
• Strong SQL skills and hands-on BigQuery modeling and optimization.
• Experience with data governance, lineage, and metadata.
• Ability to translate requirements into clear specifications in English.

Responsabilidades

• Define target data architecture for various domains including cost, usage, and finance.
• Design data models at conceptual, logical, and physical levels for BigQuery workloads.
• Create mappings, data contracts, lineage docs, and business definitions.
• Establish canonical entities and semantic datasets for analytics and agent use cases.
• Set data layer standards across zones and ownership boundaries.
• Collaborate with engineering on ingestion, transformation, and data quality patterns.
• Review pipeline designs to enhance scalability, performance, and cost efficiency.

Conocimientos

Data architecture

BigQuery

SQL

Python

Data modeling

Data governance

Stakeholder management

English (B2+)

Herramientas

BigQuery

Python

ETL tooling

Descripción del empleo

EPAM Systems, Inc. in Colombia seeks a hands-on Senior Data Solution Architect to design a production-grade data foundation for analytics and AI agents.

You will shape data models, integration patterns, and BigQuery standards while partnering with engineering to deliver governed, reliable datasets. The role emphasizes data governance, canonical entities, data layer standards, and collaboration across teams to optimize ingestion, transformation, and quality.