Chief Data Integration Engineer

EPAM Systems; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

EPAM Systems Inc seeks a Chief Data Integration Engineer to lead large-scale data integration initiatives across complex infrastructures. You will blend deep technical expertise with strategic leadership to drive impactful changes in the data ecosystem.

The role requires guiding teams, optimizing ETL/ELT pipelines, and partnering with discovery to shape designs and estimate effort for the target state build-out. Strong communication in English is essential.

Qualifications

• At least 7 years of experience in Data Integration.
• Minimum of two years spent guiding and managing teams.
• Strong grasp of ETL/ELT workflows, data warehousing, and cloud-native data integration.
• Background with AWS/Snowflake/dbt and related modern data stack tools.
• Direct experience using AWS Glue to build data pipelines.
• Proficiency in Python for data integration solutions.
• Advanced SQL and scripting skills; English communication at B2 level or above.
• Nice to have Dagster for orchestration of pipelines.

Responsibilities

• Examine existing data ingestion and transformation pipelines built by the current vendor to gauge design and effectiveness.
• Review architecture documentation and source code, applying accelerators to speed up reviews.
• Deliver analyses and complexity evaluations to inform future direction decisions.
• Collaborate with the discovery team to shape solution design and estimate effort for the target state.

Skills

Python

SQL

ETL/ELT

Data Warehousing

Cloud-native

AWS Serverless

Snowflake

dbt

Data Pipelines

Dagster

Team Leadership

English Communication

Tools

AWS Glue

Dagster

Snowflake

dbt

Job description

Chief Data Integration Engineer

We're on the search for a highly skilled Chief Data Integration Engineer to come aboard our team. This position provides a chance to engage with intricate, large-scale data infrastructures that underpin essential business functions. You'll combine deep technical knowledge with leadership background to drive impactful changes across the data ecosystem. This opportunity suits someone who thrives on blending detailed technical evaluation with high-level strategic thinking and collaborative teamwork.

Responsibilities

• Examine the existing setup of data ingestion and transformation pipelines built by the current vendor to gauge their design and effectiveness
• Dig into architecture documentation and underlying source code, applying accelerators to make the code review process more efficient
• Deliver well-defined analysis outcomes and complexity evaluations that shape decisions around future direction
• Work hand-in-hand with the discovery team on shaping solution design and calculating effort estimates for the target state build-out

Requirements

• At least 7 years of applicable background in Data Integration
• A minimum of two years spent guiding and managing teams
• Solid grasp of ETL/ELT workflows, data warehousing concepts, and cloud-native data integration methods
• Background working with the AWS/Serverless ecosystem, Snowflake, dbt, and comparable modern data stack tools
• Direct experience using AWS Glue to construct and manage data integration pipelines
• Strong command of Python for creating and sustaining data integration solutions
• Deep knowledge of building scalable data architectures and cloud-native transformation workflows
• Advanced capability in SQL and scripting languages for manipulating data and automating tasks
• Strong problem-solving aptitude paired with fluent English communication at a B2 level or above
• Nice to have Background using Dagster to orchestrate and oversee data pipeline operations