Senior Databricks Consultant - Data & AI Engineering

When the stakes are high, the difference between a data platform that scales and one that stalls is measured in how well it adapts to real business needs. The Senior Databricks Consultant – Data & AI Engineering role in London sits at the intersection of enterprise data and AI, where technical depth meets business impact. Enterprise clients expect more than technical solutions—they need platforms that evolve with their strategy and deliver value under pressure. If you thrive on untangling complexity and shaping outcomes that matter, you will find challenge and purpose here. The work shapes how clients turn data into decisions that drive their future.

Responsibilities

• Collaborate with clients to understand their 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: Translate ambiguous business problems into functional technical solutions to de-risk high-stakes client initiatives
• Architect and deliver end-to-end data solutions
• Hands-on Co-Development: Embed directly with client/EPAM engineering teams to build data pipelines, Streaming/Batch Architectures and Medallion Designs, 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, acting as a trusted advisor
• Drive revenue within the client/account portfolio by identifying opportunities and influence/sell-in EPAM services and participate in pre-sales

Requirements

• Bachelor's or Master's degree in Computer Science or a related field or relevant work experience
• Extensive experience in Data & AI, particularly in building enterprise data and ML/AI platforms
• Proven expertise with Databricks is a must, including hands-on implementation experience and certifications
• Strong background in solution architecture on major cloud providers (Azure, AWS)
• Excellent problem-solving skills and the ability to analyze complex business requirements
• 10+ years of experience in software engineering, machine learning or advanced data engineering roles
• Demonstrated experience in 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

Nice to have

• Experience with Agentic Frameworks
• Experience with Semantic Layers
• Experience with Data Management and Governance
• Experience with Data Models
• Experience with CI/CD
• Experience with Mosaic AI
• Cloud certifications (AWS or Azure)
• Previous experience in a forward-deployed, professional services or elite solutions engineering environment

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

*All benefits and perks are subject to certain eligibility requirements