Mandatory skills: Snowflake Architect with SQL, Python, DBT
- 12+ years of experience in data architecture, data engineering, or solution architecture roles on AWS and Snowflake
- Design and optimize data architectures based on Lakehouse principles, guiding customers on best practices for data ingestion, transformation, and analytics.
- Lead technical discussions and deliver compelling presentations, demonstrations, and proofs-of-concept (POCs) showcasing value propositions
- Experience and detailed knowledge with Master Data Management, ETL, Data Quality, metadata management, data profiling, micro-batches, streaming data loads
- Extensive experience with CI/CD platforms such as GitLab CI, GitHub Actions, AWS CodeBuild, and Jenkins
- Develop observability frameworks for pipeline performance
- Experience in leading and mentoring teams
- Implement metadata synchronization, maintaining technical lineage and schema evolution tracking
- Enforce data governance through AWS IAM roles, Snowflake RBAC for centralized access control
- Define and enforce data governance, access control (RBAC), and security best practices across AWS and Snowflake environments
- Provide technical leadership, mentorship, and best practices for Snowflake and AWS data integration
- Hands on experience on ITIL Process
Preferred Certifications:
1. SnowPro Advanced Architect
2. AWS Certified Data Analytics
3. AWS Certified Solutions Architect