Lead Data Engineer

EPAM Systems, Inc.; United States; Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling and certification

Job summary

EPAM Systems, Inc. seeks a Lead Data Engineer to own end-to-end data modeling and pipeline delivery as part of a multi-phase enterprise data lake re-architecture.

You will partner with US-based stakeholders and a distributed engineering team to turn business needs into reliable, well-modeled data products—apply to help drive the next phase to completion. Responsibilities include dimensional data modeling, end-to-end delivery of pipelines, and designing ELT workflows in Databricks and dbt.

Qualifications

• 5+ years of data engineering experience across modern and traditional stacks.
• 5+ years of data warehousing experience with strong ETL/ELT foundations.
• 5+ years of dimensional data modeling experience using Kimball and star schema patterns.

Responsibilities

• Own end-to-end data modeling and pipeline delivery from requirements through deployment.
• Design and build ELT workflows in Databricks and dbt aligned to warehouse best practices.
• Coordinate with a distributed engineering team to plan work and unblock delivery.
• Partner with stakeholders to validate assumptions, manage expectations, and communicate progress.
• Troubleshoot data issues and optimize transformations for reliability and maintainability.

Skills

Data engineering

SQL

Databricks

dbt

Dimensional modeling

Star schema

ETL/ELT

Leadership

Stakeholder management

Code quality and testing

Tools

Informatica

Cognos

Business Objects

Tableau

Power BI

Oracle

Job description

We are seeking a Lead Data Engineer to own end-to-end data modeling and pipeline delivery as part of a multi-phase enterprise data lake re-architecture. You will partner closely with US-based stakeholders and a distributed engineering team to turn business needs into reliable, well-modeled data products—apply to help drive the next phase to completion.ResponsibilitiesLead dimensional data modeling using star schemas, fact/dimension design, and aggregate-aware structuresOwn end-to-end delivery of data pipelines from requirements through deploymentGather business requirements directly from stakeholders and translate them into data productsDesign and build ELT workflows in Databricks and dbt aligned to warehouse best practicesDefine and execute unit tests and support UAT to ensure data quality and usabilityDocument models, pipelines, and decisions clearly to enable shared understandingCoordinate with a distributed engineering team to plan work, unblock delivery, and align outputsPartner with stakeholders to validate assumptions, manage expectations, and communicate progressTroubleshoot data issues and optimize transformations for reliability and maintainabilityRequirements5+ years of data engineering experience across modern and traditional stacks5+ years of data warehousing experience with strong ETL/ELT foundations5+ years of dimensional data modeling experience using Kimball and star schema patternsStrong leadership skills with high autonomy and ownership in light-touch environmentsStrong stakeholder management skills with frequent interaction with non-technical US partnersStrong project delivery skills across requirements, build, test, UAT, and deploymentAdvanced SQL skills for analytics-grade transformations and validationHands-on Databricks skills for building and operating data pipelinesHands-on dbt skills for modular transformations, testing, and documentationStrong communication skills with clear written and verbal updates and documentation habitsStrong requirements gathering skills with ability to anticipate future business needsEnglish proficiency: B2 Upper-IntermediateNice to haveApache Spark experience for large-scale data processingExperience with Tableau or Power BI for basic dashboarding and validationHR domain exposure and ability to ramp up quickly on domain conceptsBackground with legacy BI/ETL tools such as Informatica, Cognos, or Business ObjectsExperience with traditional RDBMS platforms such as OracleWe 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.