We are seeking a highly capable Lead Data Integration Engineer to join our team. This role is central to ensuring data flows reliably across systems to support informed business decisions. You'll work in a collaborative setting where technical leadership and hands-on problem-solving go hand in hand. This is an excellent opportunity for someone looking to make a meaningful impact on how data drives organizational successResponsibilitiesGuide the design and ongoing evolution of data integration solutions that support evolving business needsMentor and support team members, fostering best practices and consistent quality across data engineering workCoordinate closely with business stakeholders to translate requirements into effective technical solutionsOversee the stability and reliability of data pipelines, addressing issues proactively before they impact downstream processesContribute to planning and prioritization efforts, helping align technical delivery with broader project timelines and goalsRequirementsA minimum of 5 years of relevant experience in Data Warehouse projectsAt least one year of experience leading and managing teamsExperience architecting, building, and maintaining data pipelines using Azure Data FactoryBackground integrating and delivering data solutions for business intelligence using Power BIProven ability to continuously improve pipeline and transformation code for better performance, scalability, and maintainabilityAbility to understand business requirements related to data projects and translate them into technical solutionsExperience with front-end tools such as Power BI, Azure Analysis Services (AAS), and Tabular ModelsFamiliarity with management tools and methodologies, including JIRA, Agile methodology, and ServiceNowHands-on experience with ETL tools such as Azure Data Factory and Azure SynapseProficiency in query languages, including MS SQL Server and Oracle PL/SQLFluent English communication skills at a B2 level or higherNice to haveExperience with Azure Synapse Analytics for data warehousing and analytics workloadsFamiliarity with Salesforce Informatica, Snowflake, and dbt for data integration and transformation purposesWe 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.