Senior Databricks Consultant - Data & AI Engineering

• 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

• 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

• 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