Lead the architecture, assessment, and modernization of enterprise Snowflake data platforms.
Define current-state and target-state architectures across ingestion, storage, governance, and security.
Lead inventories of Python, SQL, and stored-procedure pipelines; classify workloads.
Analyze Snowflake usage telemetry to establish cost and performance baselines.
Recommend modernization using set-based processing, Dynamic Tables, Streams/Tasks, Snowpark, dbt.
Design scalable data models, governed data domains, semantic layers for analytics and AI.

🎯 Requirements

10+ years in data architecture or senior technical roles.
2-4 years deep Snowflake architecture and implementation experience.
Proven experience designing and modernizing enterprise Snowflake platforms.
Expert SQL and strong Python skills.
Experience with dbt and data pipelines/orchestration (Fivetran, Kafka, Airflow).
Experience with AWS, Azure, or GCP.

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