Solution Architect (AI & Data Platform)
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
