Chief Data Integration Engineer

EPAM Systems; Chile; Hybrid; CLP 88,322,000 - 117,763,000; Full time

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

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 teamworkResponsibilitiesExamine the existing setup of data ingestion and transformation pipelines built by the current vendor to gauge their design and effectivenessDig into architecture documentation and underlying source code, applying accelerators to make the code review process more efficientDeliver well-defined analysis outcomes and complexity evaluations that shape decisions around future directionWork hand-in-hand with the discovery team on shaping solution design and calculating effort estimates for the target state build-outRequirementsAt least 7 years of applicable background in Data IntegrationA minimum of two years spent guiding and managing teamsSolid grasp of ETL/ELT workflows, data warehousing concepts, and cloud-native data integration methodsBackground working with the AWS/Serverless ecosystem, Snowflake, dbt, and comparable modern data stack toolsDirect experience using AWS Glue to construct and manage data integration pipelinesStrong command of Python for creating and sustaining data integration solutionsDeep knowledge of building scalable data architectures and cloud-native transformation workflowsAdvanced capability in SQL and scripting languages for manipulating data and automating tasksStrong problem-solving aptitude paired with fluent English communication at a B2 level or aboveNice to haveBackground using Dagster to orchestrate and oversee data pipeline operationsWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.