Senior Solution Architect (AI & Data Platform)

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are seeking a Senior Solution Architect (AI & Data Platform) to shape a cohesive data environment and AI-driven workflows spanning Snowflake and AWS. You will coordinate architectural direction with senior stakeholders while staying closely engaged with engineering delivery and hands-on code contributions. Apply now to help push forward scalable AI and data solutions.

Responsibilities

• Carry out a gap analysis of the existing data and AI architecture ecosystem
• Design and roll out a unified data platform that covers both Snowflake and AWS
• Define AI workflow architecture that enables scalability while reducing technical debt
• Partner with senior leadership and data platform teams to align on priorities and goals
• Review, guide, and personally contribute to code development to maintain delivery momentum
• Promote best practices across data engineering and AI architecture areas

Requirements

• Strong background with 10 or more years of experience in data engineering or data architecture
• Minimum of 3 years leading a team consisting of at least 40 members
• Participation in no fewer than 8 full-cycle projects, or across multiple projects covering various phases of the development lifecycle
• Demonstrated success in delivering enterprise-scale AI and data transformation programs
• Extensive expertise in Snowflake, including data modeling and performance tuning
• Practical proficiency with AWS offerings such as S3, Lambda, Glue, and IAM
• Advanced capabilities in Python and SQL for developing data platforms
• Applied experience with Kafka and Airflow within production settings
• Solid foundation in AI/ML workflows and the design of agent-based systems
• Well-developed understanding of data platform consolidation strategies and their associated trade-offs
• English proficiency at B2 (Upper-Intermediate) level or higher

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.