The Senior Data Architect will be responsible for designing and governing the Training Environment data architecture, building and maintaining the data catalog and dataset discovery infrastructure, and defining annotation pipeline architecture.
Requirements
- 5+ years of experience in data architecture, data engineering, or LLM/ML data infrastructure
- Strong understanding of ML training data requirements
- Deep experience with data modeling, schema design, and data pipeline architecture
- Strong proficiency with Snowflake, AWS S3, and ETL/ELT orchestration tools (Airflow, dbt, or similar)
- Experience defining annotation requirements and managing data annotation workflows
- Experience with data cataloging, metadata management, and dataset discovery at scale
- Strong SQL and Python skills for data pipeline development and data quality analysis
Benefits
- Fixed compensation
- Long-term employment with the working days vacation
- Development in professional growth (courses, training, etc)
- Being part of successful cutting-edge technology products that are making a global impact in the service industry
- Proficient and fun-to-work-with colleagues
- Apple gear