Solution Architect (AI & Data Platform)

Summary

Design and deliver a unified Snowflake and AWS data platform with AI-driven workflows, combining hands-on code contributions in Python and SQL with architectural leadership and stakeholder alignment.

We are seeking a Solution Architect (AI & Data Platform) to shape a unified data platform and AI-driven workflows across Snowflake and AWS. You will align architecture with senior stakeholders while staying hands-on with engineering execution and code contributions. Apply now to help drive scalable AI and data solutions

Responsibilities

  • Perform a gap analysis of the existing data and AI architecture
  • Design and deliver a unified data platform spanning Snowflake and AWS
  • Define AI workflow architecture that scales and minimizes technical debt
  • Collaborate with senior leadership and data platform teams to align priorities
  • Review, guide, and contribute to code development to support delivery
  • Drive best practices across data engineering and AI architecture

Requirements

  • Proven track record with 8+ years of experience in data engineering/architecture
  • At least 2 years of experience in leading a team (at least 20 employees)
  • At least 2 full-cycle project participation experiences or participation in several projects covering different phases of the development lifecycle
  • Demonstrated experience delivering enterprise AI/data transformations
  • Deep expertise in Snowflake, including data modeling and performance tuning
  • Hands-on proficiency in AWS services such as S3, Lambda, Glue, and IAM
  • Strong skills in Python and advanced SQL for data platform development
  • Practical familiarity with Kafka and Airflow in production environments
  • Solid background in AI/ML workflows and agent-based systems
  • Clear understanding of data platform consolidation strategies and trade-offs
  • English proficiency at B2 (Upper-Intermediate) level or higher

Benefits

  • 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

See also

Data Engineering jobs by country — openings, pay and top skills →

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