We are looking for a Snowflake Data Architect with strong experience in enterprise data modernization and AI-driven development to help clients establish a modern Snowflake data platform that unifies data, governance, analytics, and intelligent application enablement. Establish governance, security, lineage, and data quality controls using Snowflake-native capabilities such as RBAC, row and column-level access policies, masking, encryption, and enterprise governance standards, while partnering with client stakeholders to drive measurable business outcomes and adoption. Drive AI-driven development on Snowflake by building model-ready data foundations, semantic data structures, vector-ready pipelines, and intelligent data patterns that accelerate analytics, automation, and modern data use cases. Lead production-grade AI-driven implementations using Python, PyTorch, Snowpark, and Snowflake-native capabilities, while managing client stakeholder alignment, enabling executive-level communication, and ensuring delivery focuses on scalable business outcomes across modernization programs. 10+ years of experience in data architecture, data engineering, or enterprise data platform design.
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