AI & Data Platform Architect (Snowflake + AWS)

EPAM Systems; Mexico; On-site; PHP 7,524,000 - 11,285,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling and certifications

Global career opportunities

Job summary

EPAM Systems is 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.

With 8+ years in data engineering/architecture and leadership experience, you will drive AI transformations, optimize data models, and deliver scalable data architectures in a global, inclusive environment.

Qualifications

• 8+ years of experience in data engineering/architecture.
• At least 2 years of leading a team (≥20 people).
• Experience in full-cycle projects across the SDLC.
• Proven enterprise AI/data transformation delivery.
• Snowflake data modeling and performance tuning.
• AWS services (S3, Lambda, Glue, IAM).
• Strong Python and SQL skills for data platform development.
• Production familiarity with Kafka and Airflow.
• Background in AI/ML workflows and agent-based systems.
• Knowledge of data platform consolidation strategies.

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.

Skills

Data architecture

Team leadership

Full lifecycle projects

AI/data transformations

Snowflake data modeling

AWS services

Python

SQL

Kafka

Airflow

Tools

Kafka

Airflow

Job description

EPAM Systems is 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.

With 8+ years in data engineering/architecture and leadership experience, you will drive AI transformations, optimize data models, and deliver scalable data architectures in a global, inclusive environment.