Senior Platform Engineering Consultant - Databricks

EPAM Systems; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

ESPP

Private medical insurance

Pension plan

Dental care

Life insurance

Job summary

EPAM Systems in London seeks a Senior Platform Engineering Consultant – Databricks to lead end-to-end Databricks-centric platform delivery. You will act as the main liaison between client stakeholders and delivery teams to ensure scalable, cloud-native solutions that drive business outcomes.

You will bring deep Databricks expertise, strong AWS knowledge, and experience with data visualization tools like Tableau and SAP integrations.

Qualifications

• 8+ years in platform/data engineering or related roles.
• Extensive Databricks experience; certifications are a plus.
• Strong knowledge of AWS services and cloud-native tech.
• Experience with data visualization, BI tools, and reporting.
• Client-facing experience and ability to drive solutions.

Responsibilities

• Lead end-to-end Databricks-centric platform delivery with focus on scalability and AI capabilities.
• Act as main liaison between technical teams and client stakeholders to manage expectations.
• Design and implement Databricks-centric platforms and data products.
• Guide teams in leveraging AWS storage and compute for optimization.
• Integrate with Tableau for actionable visualizations and SAP data flows.
• Identify blockers and promote best practices in platform engineering and DevOps.
• Conduct regular progress reviews with client stakeholders.
• Contribute to architecture, documentation, and knowledge sharing.

Skills

Databricks

AWS cloud

Solution architecture

Delivery leadership

Stakeholder management

DevOps culture

Data engineering

Education

BS/MS in CS or Engineering

Tools

Tableau

SAP

Job description

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.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 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