Senior AI & Data Platform Architect — Snowflake/AWS

EPAM Systems; Mexico; On-site; PHP 8,777,000 - 12,539,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling & certification courses

Global career opportunities

LinkedIn Learning access

Job summary

EPAM Systems seeks a Senior Solution Architect (AI & Data Platform) to shape a cohesive data environment spanning Snowflake and AWS. You will coordinate architectural direction with senior stakeholders while staying closely engaged with engineering delivery and hands-on code contributions.

The role requires leadership of large data and AI initiatives, extensive Snowflake/AWS expertise, Python/SQL, Kafka, Airflow, and English at B2 level or higher.

Qualifications

• 10+ years in data engineering or data architecture
• 3+ years leading a team of 40+ members
• Experience delivering enterprise-scale AI and data transformation programs
• Snowflake expertise with data modeling and performance tuning
• AWS proficiency including S3, Lambda, Glue, IAM
• Strong Python and SQL for data platform development
• Hands-on with Kafka and Airflow in production
• Knowledge of AI/ML workflows and agent-based systems
• English at B2 level or higher

Responsibilities

• Carry out a gap analysis of the existing data and AI architecture ecosystem
• Design and roll out a unified data platform covering Snowflake and AWS
• Define AI workflow architecture for scalable systems with reduced 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

Job description

EPAM Systems seeks a Senior Solution Architect (AI & Data Platform) to shape a cohesive data environment spanning Snowflake and AWS. You will coordinate architectural direction with senior stakeholders while staying closely engaged with engineering delivery and hands-on code contributions.

The role requires leadership of large data and AI initiatives, extensive Snowflake/AWS expertise, Python/SQL, Kafka, Airflow, and English at B2 level or higher.