Chief Data Integration Engineer

EPAM Systems; 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

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 LinkedIn