Senior Databricks Consultant - Data & AI Engineering

EPAM Systems; Greater London; Vor Ort; GBP 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

ESPP

Private medical insurance

Pension plan

Cycle/Tech schemes and season ticket

Zusammenfassung

EPAM Systems in London is seeking a Senior Databricks Consultant – Data & AI Engineering to drive enterprise data and AI initiatives. You will lead data solution design, architecture, and end-to-end delivery while collaborating with senior stakeholders and client teams.

You will embed with client teams to build scalable data pipelines and AI/ML systems on Databricks, and actively participate in pre-sales to grow EPAM’s engagements.

Qualifikationen

• Bachelor's or Master's degree in Computer Science or related field or relevant work experience.
• Extensive experience in Data & AI, building enterprise data and ML/AI platforms.
• Proven expertise with Databricks, including hands-on implementation experience and certifications.
• Strong background in solution architecture on major cloud providers (Azure, AWS).
• 10+ years of experience in software engineering, machine learning or advanced data engineering roles.
• Engages and influences senior stakeholders; leads delivery teams.
• Experience in pre-sales and growing client relationships.

Aufgaben

• 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.
• Rapid prototyping to production: translate ambiguous business problems into functional technical solutions.
• Architect and deliver end-to-end data solutions.
• Hands-on co-development: embed with client/EPAM teams to build data pipelines and AI/ML systems on Databricks.
• Lead delivery teams to ensure successful project outcomes and client satisfaction.
• Build and maintain strong client relationships and act as trusted advisor.
• Drive revenue within the client/account portfolio by identifying opportunities and influence/sell-in EPAM services.

Kenntnisse

Databricks

Data & AI

Cloud architecture

Stakeholder engagement

Leadership

Pre-sales

Ausbildung

Bachelor's or Master's in Computer Science

Tools

Azure

AWS

Jobbeschreibung

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.ResponsibilitiesCollaborate with clients to understand their business needs and data requirementsDesign, develop and implement data solutions using DatabricksEngage with senior stakeholders on decision-makingTranslate complex business requirements into practical Data Driven/ML/AI solutionsRapid Prototyping to Production: Translate ambiguous business problems into functional technical solutions to de-risk high-stakes client initiativesArchitect and deliver end-to-end data solutionsHands-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 DatabricksLead delivery teams to ensure successful project outcomes and client satisfactionBuild and maintain strong client relationships, acting as a trusted advisorDrive revenue within the client/account portfolio by identifying opportunities and influence/sell-in EPAM services and participate in pre-salesRequirementsBachelor's or Master's degree in Computer Science or a related field or relevant work experienceExtensive experience in Data & AI, particularly in building enterprise data and ML/AI platformsProven expertise with Databricks is a must, including hands-on implementation experience and certificationsStrong background in solution architecture on major cloud providers (Azure, AWS)Excellent problem-solving skills and the ability to analyze complex business requirements10+ years of experience in software engineering, machine learning or advanced data engineering rolesDemonstrated experience in engaging and influencing senior stakeholdersAbility to operate strategically while maintaining attention to detailExperience leading delivery teams and driving successful project outcomesStrong track record of developing and growing client relationshipsNice to haveExperience with Agentic FrameworksExperience with Semantic LayersExperience with Data Management and GovernanceExperience with Data ModelsExperience with CI/CDExperience with Mosaic AICloud certifications (AWS or Azure)Previous experience in a forward-deployed, professional services or elite solutions engineering environmentWe 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