Role: Senior Snowflake Developer - Python Data Architect.
Location: Toronto ON (Onsite).
Duration: Long Term Contract.
Job Overview
Design and own enterprise Snowflake platforms processing petabyte-scale analytics workloads. This senior role architects data models optimizes query performance at scale and builds production Python pipelines ensuring 99.99% reliability for business-critical analytics.
Snowflake Architecture Ownership
-
Data Warehouse Design: Multi-warehouse sizing clustering keys materialized views
-
Advanced Features: Snowpark Python UDFs streams/tasks zero-copy cloning
-
Performance Engineering: Query acceleration search optimization auto-clustering
-
Security & Governance: RBAC dynamic data masking secure views Time Travel
-
Data Sharing: Cross-account sharing secure data marketplaces
Python Pipeline Mastery
-
ETL/ELT: Snowpark DataFrames Python stored procedures external functions
-
Integration: Snowflake Connector Pandas optimization Arrow serialization
-
Automation: Dynamic warehouse sizing query tagging resource monitors
-
Validation: Great Expectations integration reconciliation logic
Production Impact
-
Query Optimization: 100x performance gains through clustering materialized views
-
Pipeline Reliability: 99.99% success rate across 10K daily jobs
-
Cost Management: 40% credit reduction through warehouse autoscaling query pruning
-
Data Freshness: < 15min SLA from source to Snowflake analytics
Required Expertise (8-12 years total 4 Snowflake)
-
Snowflake: Virtual warehouses Snowpark Python streams/tasks clustering mastery
-
Python: Snowpark DataFrames pandas optimization multiprocessing logging
-
SQL: Window functions lateral joins query profiles result caching
-
Cloud: AWS S3/Glue Azure Data Factory integration
-
DevOps: Git branching CI/CD via GitHub Actions dbt deployment
-
Orchestration: Airflow DAGs Snowflake Tasks Azure Data Factory
Role: Senior Snowflake Developer - Python Data Architect. Location: Toronto ON (Onsite). Duration: Long Term Contract. Job Overview Design and own enterprise Snowflake platforms processing petabyte-scale analytics workloads. This senior role architects data models optimizes query performance at s...
Role: Senior Snowflake Developer - Python Data Architect.
Location: Toronto ON (Onsite).
Duration: Long Term Contract.
Job Overview
Design and own enterprise Snowflake platforms processing petabyte-scale analytics workloads. This senior role architects data models optimizes query performance at scale and builds production Python pipelines ensuring 99.99% reliability for business-critical analytics.
Snowflake Architecture Ownership
-
Data Warehouse Design: Multi-warehouse sizing clustering keys materialized views
-
Advanced Features: Snowpark Python UDFs streams/tasks zero-copy cloning
-
Performance Engineering: Query acceleration search optimization auto-clustering
-
Security & Governance: RBAC dynamic data masking secure views Time Travel
-
Data Sharing: Cross-account sharing secure data marketplaces
Python Pipeline Mastery
-
ETL/ELT: Snowpark DataFrames Python stored procedures external functions
-
Integration: Snowflake Connector Pandas optimization Arrow serialization
-
Automation: Dynamic warehouse sizing query tagging resource monitors
-
Validation: Great Expectations integration reconciliation logic
Production Impact
-
Query Optimization: 100x performance gains through clustering materialized views
-
Pipeline Reliability: 99.99% success rate across 10K daily jobs
-
Cost Management: 40% credit reduction through warehouse autoscaling query pruning
-
Data Freshness: < 15min SLA from source to Snowflake analytics
Required Expertise (8-12 years total 4 Snowflake)
-
Snowflake: Virtual warehouses Snowpark Python streams/tasks clustering mastery
-
Python: Snowpark DataFrames pandas optimization multiprocessing logging
-
SQL: Window functions lateral joins query profiles result caching
-
Cloud: AWS S3/Glue Azure Data Factory integration
-
DevOps: Git branching CI/CD via GitHub Actions dbt deployment
-
Orchestration: Airflow DAGs Snowflake Tasks Azure Data Factory
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