Senior Platform Engineering Consultant - Databricks

Location:

London; UKWork type:
Hybrid Seniority:
Middle Management Primary skill:
Data Software Engineering Posted:
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, Dev Ops, 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 field8+ 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

We 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 Cycle scheme, 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
* All benefits and perks are subject to certain eligibility requirements