Platform Engineering Manager/Consultant

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.
Responsibilities
Lead and oversee end-to-end data and AI platform delivery, ensuring quality and timely execution
Act as the primary liaison between technical teams and client stakeholders to manage expectations
Drive the design and implementation of Databricks-centric platforms and related data products
Guide teams in leveraging AWS storage and compute services for platform optimization
Own integration with Tableau to enable actionable visualizations for clients
Support SAP data integration and migration activities as required
Identify and remove technical blockers to ensure smooth project execution
Promote best practices in platform engineering, DevOps, and cloud operations within delivery teams
Conduct regular project reviews and progress updates with client stakeholders
Contribute to solution architecture, documentation, and knowledge sharing processes
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
8+ years of experience in platform/data engineering or related roles
Extensive experience with Databricks, with certification considered highly advantageous
Strong knowledge of AWS services and cloud-native technologies
Proven experience using Tableau for data visualization and reporting
Ability to manage client relationships and deliver business-focused solutions
Track record of leading technical teams and resolving delivery challenges
Deep understanding of data engineering principles, ETL processes, and cloud architectures
Excellent communication, negotiation, and stakeholder management skills
Nice to have
Databricks certification
AWS certification
Familiarity with SAP data integration
Previous consulting experience in the fashion or retail industry