Chief Data Integration Engineer

EPAM Systems Inc; Colombia; Remote; COP 120,000,000 - 240,000,000; Full time

Job summary

EPAM Systems Inc is seeking a Chief Data Integration Engineer to lead advanced data ingestion and transformation initiatives across enterprise-scale platforms in Colombia. You will bridge hands-on technical excellence with strategic oversight, guiding data architecture decisions and collaborating with global teams.

You have 7+ years in data integration, strong ETL/ELT and data warehousing skills, and fluency in English. Expertise with AWS, Snowflake, dbt and Python is highly valued.

Qualifications

• 7+ years of experience in Data Integration.
• At least 2 years guiding and managing teams.
• Strong knowledge of ETL/ELT workflows and data warehousing.
• Experience with AWS/Snowflake/dbt and modern data stack tools.
• Proficient in Python and SQL.
• Fluent English (B2+).

Responsibilities

• Examine current data ingestion and transformation pipelines to assess design and effectiveness.
• Review architecture documentation and source code, applying accelerators for efficiency.
• Deliver well-defined analyses and complexity evaluations to inform future direction.
• Collaborate with the discovery team on shaping solution design and estimating effort for the target state build-out.

Skills

Data Integration leadership

ETL/ELT workflows

Data warehousing

Python

SQL

Cloud-native data stack

English communication

Tools

AWS

Snowflake

dbt

AWS Glue

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 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.