Senior Platform Engineering Consultant - Databricks

• 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
• Experience working with data visualization, reporting, and business intelligence solutions
• 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

• EPAM 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 events
• Learning and development opportunities including in-house training and coaching, professional certifications, and courses
• If 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

We'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.

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
• Experience working with data visualization, reporting, and business intelligence solutions
• 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
• Experience with Tableau or other data visualization and business intelligence tools
• Previous consulting experience in the fashion or retail industry

Benefits

• EPAM 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 events
• Learning and development opportunities including in-house training and coaching, professional certifications, and courses
• If 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