Snowflake Architect

dards and naming conventions for DBT and SnowSQL.
Define data governance, lineage, and documentation practices.
Recommend monitoring and alerting mechanisms for data pipeline health.
Collaboration & Mentorship
Work closely with data engineers, analysts, and platform teams.
Mentor junior developers on Snowflake and DBT development.
Participate in sprint planning, code reviews, and architectural discussions.
Required Skills & Experience:

Proven experience as a Cloud Data Architect or Senior Data Engineer in Snowflake and other Cloud DB environments.
Strong hands-on expertise in DBT, SnowSQL, and SQL performance tuning.
Familiarity with Oracle Exadata and PL/SQL is a plus for comparative analysis.
10+ years experience in data modeling ( logical and physical ), ETL/ELT design, and designing and implementing data warehouse , performance tuning and optimization.
Understanding of CI/CD pipelines, version control, and deployment automation.
Excellent communication skills and ability to translate technical findings into actionable recommendations.
Preferred Qualifications:

Snowflake Architect Certification , DBT Certification.
Experience in banking or financial services data platforms.
Exposure to cloud platforms like AWS, Azure, or Google Cloud Platform.