We’re looking for a Platform Engineering Manager/Consultant to join our team in London, United Kingdom in a hybrid working mode. This role sits within EPAM’s Data & Platform Practice and focuses on delivering scalable, client-centric data and AI platform solutions. You will serve as a bridge between technical teams and stakeholders, ensuring successful delivery while resolving technical challenges. Strong expertise in Databricks is essential, AWS experience is preferred, and knowledge of Tableau and SAP is advantageous. This role offers an opportunity to influence strategic initiatives, lead platform delivery, and drive innovation for data-enabled solutions.ResponsibilitiesLead and oversee end-to-end data and AI platform delivery, ensuring quality and timely executionAct as the primary liaison between technical teams and client stakeholders to manage expectationsDrive the design and implementation of Databricks-centric platforms and related data productsGuide teams in leveraging AWS storage and compute services for platform optimizationOwn integration with Tableau to enable actionable visualizations for clientsSupport SAP data integration and migration activities as requiredIdentify and remove technical blockers to ensure smooth project executionPromote best practices in platform engineering, DevOps, and cloud operations within delivery teamsConduct regular project reviews and progress updates with client stakeholdersContribute to solution architecture, documentation, and knowledge sharing processesRequirementsBachelor’s or Master’s degree in Computer Science, Engineering, or related field8+ years of experience in platform/data engineering or related rolesExtensive experience with Databricks, with certification considered highly advantageousStrong knowledge of AWS services and cloud-native technologiesProven experience using Tableau for data visualization and reportingAbility to manage client relationships and deliver business-focused solutionsTrack record of leading technical teams and resolving delivery challengesDeep understanding of data engineering principles, ETL processes, and cloud architecturesExcellent communication, negotiation, and stakeholder management skillsNice to haveDatabricks certificationAWS certificationFamiliarity with SAP data integrationPrevious consulting experience in the fashion or retail industryWe offerEPAM Employee Stock Purchase Plan (ESPP)Protection benefits including life assurance, income protection and critical illness coverPrivate medical insurance and dental careEmployee Assistance ProgramCompetitive group pension planCyclescheme, Techscheme and season ticket loansVarious perks such as free Wednesday lunch in-office, on-site massages and regular social eventsLearning and development opportunities including in-house training and coaching, professional certifications, and coursesIf otherwise eligible, participation in the discretionary annual bonus programIf otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program #J-18808-Ljbffr
