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Sr Snowflake Engineer

Apexon -
Toronto, ON

Quick apply

Job details

Permanent | Full-time
$100,000–$140,000 a year

Qualifications

CI/CD
Looker
Power BI
Data modeling
Azure
Test automation
Google Cloud Platform
Tableau
SQL
AWS
Virtualization
Terraform
GitHub
Kafka
Jenkins
Data warehouse
Python
Analytics

Full job description

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

Quick apply

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