Lead Data Integration Architect | AWS, Snowflake, ETL

EPAM Systems Inc; Argentina; Remote; ARS 700,000 - 1,100,000; Full time

Job summary

EPAM Systems Inc. seeks a Chief Data Integration Engineer to lead and evolve large-scale data pipelines and architectures. You will assess current ingestion/transformation setups, review architecture, and deliver strategic analyses to guide future roadmap.

The ideal candidate brings deep technical expertise and proven leadership in cloud-native data integration, ETL/ELT, and modern data stacks. The role emphasizes collaboration with discovery teams and global peers, delivering scalable data

Qualifications

• At least 7 years of data integration experience.
• 2+ years of guiding and managing teams.
• Experience with ETL/ELT, data warehousing, and cloud-native data integration.
• Hands-on with AWS/Serverless, Snowflake, dbt.
• Proficient in Python for data integration.
• Strong SQL and scripting capabilities.

Responsibilities

• Assess current data ingestion and transformation pipelines and gauge design and effectiveness.
• Review architecture docs and source code to accelerate review with accelerators.
• Deliver analyses and complexity evaluations to shape future direction.
• Collaborate with the discovery team to shape solution design and estimate effort.
• Work with cross-functional teams to ensure scalable data architecture.

Skills

Data integration

ETL/ELT

SQL

Python

Leadership

English communication

Tools

AWS Glue

Snowflake

dbt

Dagster

Job description

EPAM Systems Inc. seeks a Chief Data Integration Engineer to lead and evolve large-scale data pipelines and architectures. You will assess current ingestion/transformation setups, review architecture, and deliver strategic analyses to guide future roadmap.

The ideal candidate brings deep technical expertise and proven leadership in cloud-native data integration, ETL/ELT, and modern data stacks. The role emphasizes collaboration with discovery teams and global peers, delivering scalable data