Principal, Director – Data Technology Consulting

Technologies we use

About the project

Your responsibilities

• Work with European technical and business data practices, assisting clients in their Data Analytics strategy, AI transformation and delivery programs
• Enhance Data and Analytics frameworks to boost business capabilities – proposing efficient to implement and integrate, cohesive systems, driving the technical evaluation of the past and to-be data environment by working together with various business and technology roles
• Serve as a consultant on complex projects, defining straightforward architectures and collaborating with architects on domain and specialist-level technical problems
• Maintain understanding of technical solutions, architecture design trends and best practices
• Drive Data Analytics initiatives and technology consulting engagements
• Collaborate with internal, client and third-party teams to execute transformations
• Understand the synergy between technology, customers, and business
• Stay updated on emerging trends and challenges in clients' markets and geographies, and how they affect clients’ business and initiatives
• Collaborate with project management teams to ensure integrated and successful project delivery
• Deliver clear and consistent communications within projects with relevant stakeholders
• Build and maintain robust client relationships
• Develop a full understanding of EPAM’s Data Service Offerings and create new offerings in the form of accelerators, blueprints and (open source) tools

Our requirements

• Strong experience as a Data Technical Consultant and Data Solution Architect
• Expertise in Data Engineering, Data Warehousing, Data Science, Data Management, Data Governance, and Data Visualization
• Hands-on technology experience in the areas of Data Analytics
• Awareness of data technology trends and market evolutions, including major cloud platforms (AWS, Azure, GCP), data processing frameworks (Databricks, MS Fabric)
• Demonstrates deep expertise in AI/ML with a strong focus on Large Language Models (LLMs), advanced Natural Language Processing (NLP), and Computer Vision. Applies cutting-edge machine learning techniques to design, develop, and deploy scalable AI solutions across industries
• Good understanding of Software Development Life Cycle (SDLC); adhere to best practices, and promote quality-focused code development and Continuous Integration/Continuous Deployment (CI/CD)
• Skill in effectively communicating technology pros & cons and presenting rational options to clients
• Confidence in expressing viewpoints, making recommendations and presenting analysis when needed

What we offer

Benefits