Own the data platform's architecture and technical direction
Build and operate the ingestion layer across streaming, batch, CDC, and connectors
Land data into Snowflake with freshness and cost characteristics
Own the orchestration platform across full data graph
Build transformation/compute frameworks and self-serve tooling for pipelines
Design and operate real-time stream processing for near-live needs

🎯 Requirements

5+ years building and operating production data infrastructure
Deep experience with cloud data warehouses (Snowflake preferred)
Hands-on with CDC/streaming pipelines (Kafka, Debezium, Flink, Spark Streaming)
Experience with ingestion tooling (Fivetran, Airbyte, or similar)
Fluent in workflow orchestration (Temporal, Airflow, Dagster)
Strong Python and advanced SQL skills

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