Senior Databricks Consultant - Data & AI Engineering
EPAM Systems
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
- 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
- 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