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 looking for a Solution Architect (AI & Data Platform) to design a unified data ecosystem and AI-powered workflows across Snowflake and AWS. You will align architectural direction with senior stakeholders while remaining hands-on with engineering delivery and active code contributions. Apply today to help advance scalable AI and data solutions.

Responsibilities

• Conduct a gap analysis of the current data and AI architecture landscape
• Architect and deliver a consolidated data platform that spans Snowflake and AWS
• Establish AI workflow architecture that supports scalability while limiting technical debt
• Work alongside senior leadership and data platform teams to align on priorities and objectives
• Review, mentor, and contribute directly to code development to keep delivery on track
• Champion best practices across data engineering and AI architecture disciplines

Requirements

• Solid track record with 5 or more years of experience in data engineering or data architecture
• At least 1 year of experience leading a team of no fewer than 5 employees
• Involvement in a minimum of 2 full-cycle projects, or participation across several projects covering different stages of the development lifecycle
• Proven history of delivering enterprise-scale AI and data transformation initiatives
• Deep expertise in Snowflake, including data modeling and performance optimization
• Hands-on command of AWS services such as S3, Lambda, Glue, and IAM
• Advanced skills in Python and SQL for building data platforms
• Practical experience with Kafka and Airflow in production environments
• Strong grounding in AI/ML workflows and agent-based system design
• Clear understanding of data platform consolidation strategies along with their 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.