Opportunity Description
Role: Snowflake & Streaming Data Architect Location: Toronto, ON (Onsite) Experience: 12–15 years Key Responsibilities:
Design end-to-end Snowflake data model (Star/Snowflake schema, Data Vault 2.0)
Define Kafka topic strategy, schema registry standards, and ingestion patterns
Establish data governance, masking policies, RBAC, and tagging taxonomy
Own solution architecture, tech stack decisions, and stakeholder alignment
Define SLAs for data freshness, CDC patterns, and error handling.
Must-Have Skills:
Snowflake architecture (Virtual Warehouses, Dynamic Tables, Streams, Tasks)
Apache Kafka / Confluent Platform — topic design, Schema Registry (Avro/JSON)
Kafka-to-Snowflake connectors (Snowflake Kafka Connector or Confluent Cloud)
dbt Cloud for transformation layer
Python or SQL for pipeline validation
#J-18808-Ljbffr
Design end-to-end Snowflake data model (Star/Snowflake schema, Data Vault 2.0)
Define Kafka topic strategy, schema registry standards, and ingestion patterns
Establish data governance, masking policies, RBAC, and tagging taxonomy
Own solution architecture, tech stack decisions, and stakeholder alignment
Define SLAs for data freshness, CDC patterns, and error handling.
Must-Have Skills:
Snowflake architecture (Virtual Warehouses, Dynamic Tables, Streams, Tasks)
Apache Kafka / Confluent Platform — topic design, Schema Registry (Avro/JSON)
Kafka-to-Snowflake connectors (Snowflake Kafka Connector or Confluent Cloud)
dbt Cloud for transformation layer
Python or SQL for pipeline validation
#J-18808-Ljbffr
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