Senior Platform Engineering Consultant - Databricks
Location:
London; UKWork type: HybridSeniority: Middle ManagementPrimary skill: Data Software EngineeringPosted: 2026-10-15We're looking for a Senior Platform Engineering Consultant – Databricks to join EPAM's Data & Platform Practice in London, working in a hybrid model. In this client-facing role, you'll lead the design and delivery of scalable, Databricks-centric data and AI platforms, combining deep technical expertise with solution architecture, delivery leadership and stakeholder engagement. You'll work closely with client stakeholders and engineering teams to overcome technical challenges, optimise cloud-native platforms and deliver business-focused outcomes. Strong Databricks expertise is essential, with AWS experience preferred and exposure to Tableau and SAP advantageous.
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 technologiesExperience working with data visualization, reporting, and business intelligence solutionsAbility 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 integrationExperience with Tableau or other data visualization and business intelligence toolsPrevious consulting experience in the fashion or retail industryWe offerEPAM Employee Stock Purchase Plan (ESPP)Protection benefits including life assurance, income protection and critical illness cover Private medical insurance and dental care Employee Assistance Program Competitive group pension plan Cyclescheme, Techscheme and season ticket loans Various 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 program If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program*All benefits and perks are subject to certain eligibility requirements