- Work model
- Remote
- Experience
- 2+ years
- Employment
- Not specified
- Compensation
- Not disclosed
- Technology signal
- 11 tags
Technology context
11Parsed from the vacancy text; ordered by relevance to this role.
AIAWSMachine LearningPythonKafkaSnowflakeSQLAirflowAI Solution EngineeringData Solution ArchitectureML Architecture
Full listing
Role description
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