Job role : Sr Snowflake Engineer
Location: Downtown Toronto
FTE or contract
5 to 6 years of experience - if more years better
Sr Snowflake Engineer:
Job Overview
We are building a modern data platform centered on Snowflake and we’re seeking a Snowflake-focused data professional to design, build and operationalize Snowflake-native solutions. The role combines advanced Snowflake development (Snowpark, Streams & Tasks, Snowpipe), data architecture and platform engineering to deliver performant, secure, governed data products, developer utilities and Snowflake-based apps that enable analytics and data products across the business.
Reports To
Director, Data and AI
Responsibilities and Duties
· Lead design and implementation of Snowflake-based data architectures: schemas, data vault/house/star models, materialized views, and zero-copy cloning patterns for environments.
· Build and maintain production ETL/ELT pipelines into Snowflake using Snowpipe, Snowpark, Streams & Tasks and partner tools (Streamsets, dbt, Fivetran, Matillion, Airbyte, etc.).
· Develop Snowflake-native utilities and apps (Snowpark for Python, UDFs, external functions, and internal tools) to accelerate developer productivity and data product delivery.
· Optimize query performance and cost through clustering keys, partitioning strategies, resource monitors, warehouse sizing, and workload isolation.
· Implement data governance, security and access controls in Snowflake based on role-based access, masking policies, object tagging, data lineage and audit logging.
· Automate infrastructure and deployments leveraging IaC for Snowflake objects and cloud infra CI/CD pipelines, and automated testing for SQL/Snowpark code.
· Build observability and operational tooling by monitoring, alerting, usage/cost reporting, and incident playbooks for Snowflake workloads.
· Mentor engineers, review designs and contribute to roadmap decisions for Snowflake platform evolution.
Required skills and experience
· Strong hands-on experience designing and operating Snowflake in production
· Deep experience with Snowflake features, like Snowpark, Streams & Tasks, Snowpipe, Time Travel, cloning, materialized views, external functions and user-defined functions.
· Hands-on ETL/ELT development experience with dbt, SQL, and one or more ingestion tools (Streamsets, Fivetran, Matillion, Airbyte, Kafka connectors).
· Proficient in Python (Snowpark/connector), SQL tuning and query optimization techniques.
· Experience with IaC and automation (Terraform, GitHub Actions, Jenkins, or equivalent).
· Strong knowledge of cloud platforms and native services (AWS, Azure or GCP) as they relate to Snowflake deployment and integrations.
· Solid understanding of medallion architecture, data modeling patterns, data governance, and secure data sharing.
· Demonstrated ability to implement CI/CD, automated testing and production operational practices for data workloads.
Preferred qualifications
· Snowflake SnowPro Core or advanced Snowflake certifications.
· Experience with dbt (core or Cloud) for transformation and modular SQL engineering.
· Experience with data virtualization, data catalogs or data lineage tools.
· Familiarity with analytics and BI integrations (Looker, Tableau, Power BI) and building Snowflake-optimized semantic layers.
· Experience building internal developer tools or data apps using Snowpark or lightweight web frameworks.
Pay: $100,000.00-$140,000.00 per year
Work Location: In person
