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Strong Tier-1 employer but senior and Snowflake-specialized role reduces applicant density.
Snowflake data platform and governance skills are transferable across industries but favor enterprise data experience.
Explicit 10+ years and mandatory Snowflake/dbt/governance skills make filters highly selective.
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Architect and implement enterprise-scale Snowflake data platforms focused on security, scalability, and performance.
Lead design and optimization of data ingestion, transformation, and orchestration pipelines using Snowflake-native tools (Snowpipe, dbt, stored procedures, tasks, dynamic tables).
Drive secure and governed data sharing, data governance, and data quality adoption across internal and external stakeholders aligned with organizational standards.
Bachelor's degree in Computer Science, Engineering, Information Technology, or related field (B.Tech or equivalent preferred).
10+ years of experience designing and implementing Snowflake-based data platforms in enterprise environments.
Hands-on experience with Snowflake ingestion (Snowpipe), data sharing (Snowflake Marketplace), data transformation (dbt, stored procedures, tasks, dynamic tables).
Experience implementing data governance, security controls (RBAC), and enterprise governance tools (e.g., Collibra).
Expert in Snowflake architecture with strong domain knowledge of data modeling, metadata management, data lineage, and data quality.
Experience partnering cross-functionally to define scalable data models supporting current and future business needs.
Familiarity with cloud platforms (AWS/Azure) integrating with Snowflake and modern AI/data solutions (AI chatbots, RAG pipelines, LangChain, vector DBs).