Senior Data Integration Architect | AWS, Snowflake, ETL

EPAM Systems Inc

Chile

Hybrid

CLP 88,322,000 - 117,763,000

Full time

3 days ago
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Benefits offered by this job

Healthcare benefits
Paid time off
Upskilling and certification
Global career opportunities

Job summary

EPAM Systems Inc. seeks a Chief Data Integration Engineer to oversee large-scale data pipelines, drive architecture reviews, and guide a distributed team. The role blends hands-on technical review with strategic planning across data platforms.

You will collaborate with discovery teams to shape target-state designs and provide effort estimates for implementation, leveraging cloud-native data tools and modern stacks.

Qualifications

  • 7+ years of Data Integration experience.
  • Experience leading and guiding teams (2+ years).
  • Strong grasp of ETL/ELT workflows and data warehousing concepts.
  • Background with AWS/Snowflake/dbt and modern data stack tools.
  • Direct experience using AWS Glue to build data pipelines.
  • Proficient in Python for data integration solutions.
  • Strong SQL and scripting abilities.
  • Fluent English at B2 level or higher.

Responsibilities

  • Examine existing data ingestion and transformation pipelines and assess design.
  • Review architecture docs and source code; apply accelerators to speed reviews.
  • Produce well-defined analyses and complexity evaluations to guide future direction.
  • Collaborate with discovery team to shape solution design and estimate effort.

Skills

Leadership
ETL/ELT
Data warehousing
Cloud data integration
AWS
Python
SQL
English

Tools

AWS Glue
Snowflake
dbt
Dagster
Python
SQL

Job description

EPAM Systems Inc. seeks a Chief Data Integration Engineer to oversee large-scale data pipelines, drive architecture reviews, and guide a distributed team. The role blends hands-on technical review with strategic planning across data platforms.

You will collaborate with discovery teams to shape target-state designs and provide effort estimates for implementation, leveraging cloud-native data tools and modern stacks.

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