AI & Emerging technologies

Senior Databricks Consultant - Data & AI Engineering

EPAM Systems

London · Greater London · United Kingdom

Overview

In this role you will help leading enterprises turn data into decisions by building scalable Databricks-based data and AI platforms. You’ll work closely with clients and senior stakeholders to translate business needs into production-grade data and ML solutions, driving value under pressure. You will co-develop with client teams, guide architecture and delivery, and identify opportunities to expand EPAM services. This is a chance to shape outcomes for enterprise clients at scale and impact.

Pay / Benefits
  • EPAM Employee Stock Purchase Plan (ESPP)
  • Life assurance
  • Private medical insurance
  • Pension plan
  • Learning and professional certifications
  • Discretionary annual bonus
Responsibilities
  • Collaborate with clients to understand business needs and data requirements
  • Design, develop and implement data solutions using Databricks
  • Engage with senior stakeholders on decision-making
  • Translate complex business requirements into practical Data Driven/ML/AI solutions
  • Rapid prototyping to production to de-risk high-stakes client initiatives
  • Architect and deliver end-to-end data solutions
  • Hands-on co-development with client/EPAM teams to build data pipelines, streaming/batch architectures and production-grade AI/ML systems on Databricks
  • Lead delivery teams to ensure successful project outcomes and client satisfaction
  • Build and maintain strong client relationships as a trusted advisor
  • Drive revenue within the client/account portfolio by identifying opportunities and supporting pre-sales
Key requirements
  • Bachelor's or Master's degree in Computer Science or related field or relevant work experience
  • Extensive experience in Data & AI, especially building enterprise data and ML/AI platforms
  • Proven Databricks expertise with hands-on implementation and certifications
  • Strong background in solution architecture on Azure and AWS
  • Excellent problem-solving and ability to analyze complex business requirements
  • 10+ years of experience in software engineering, ML or advanced data engineering
  • Demonstrated experience engaging and influencing senior stakeholders
  • Ability to operate strategically while maintaining attention to detail
  • Experience leading delivery teams and driving successful project outcomes
  • Strong track record of developing and growing client relationships
  • Stakeholder management
  • Strategic thinking
  • Communication and collaboration
  • Databricks
  • Azure
  • AWS

Reference: WJ-747_31194621

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