Senior Snowflake Engineer

Bounteous

Senior Snowflake Engineer responsible for designing, building, and optimizing cloud data platform. Collaborating with stakeholders to deliver secure data solutions powering analytics and decision-making.

Posted 6/23/2026full-timeRemote • 🇨🇦 CanadaSenior💰 CA$102,000 - CA$133,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowAWSAzureCloudETLGoogle Cloud PlatformPythonSQLVault

About the role

Key responsibilities & impact

Design, develop, and maintain scalable data pipelines and ELT/ETL workflows on Snowflake, integrating data from diverse internal and external sources.
Architect and optimize Snowflake data models, schemas, and warehouses for performance, reliability, and cost efficiency.
Implement and enforce data governance, security, role-based access controls, and data quality standards across the platform.
Monitor and tune warehouse performance, query execution, and resource consumption to control costs and meet SLAs.
Build and maintain CI/CD pipelines for data infrastructure using tools such as dbt, Git, and orchestration frameworks (e.g., Airflow).
Leverage advanced Snowflake features — Snowpipe, Streams, Tasks, Time Travel, Dynamic Tables, and Snowpark — to deliver near-real-time and automated data solutions.
Collaborate with analysts, data scientists, and business stakeholders to translate requirements into robust data solutions.
Mentor junior engineers, conduct code reviews, and establish best practices for data engineering across the team.

Requirements

What you’ll need

5+ years of data engineering experience, with 3+ years of hands-on Snowflake development in a production environment.
Expert-level SQL skills, including complex query design, optimization, and performance tuning.
Strong experience designing dimensional and/or data vault data models and building ELT pipelines.
Proficiency with dbt for data transformation and modeling.
Hands-on experience with at least one cloud platform (AWS, Azure, or GCP) and its data services.
Programming proficiency in Python for data processing, automation, and scripting.
Proficiency using GenAI and AI-assisted development tools (e.g., Claude Code, ChatGPT/OpenAI, GitHub Copilot, Cursor) to accelerate coding, debugging, and documentation.
Experience with workflow orchestration tools such as Airflow, Dagster, or Prefect.
Solid understanding of data warehousing concepts, data governance, and security best practices.
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Bounteous Website LinkedIn All Job Openings 501 - 1000 employees Founded 2003 🏢 Enterprise ☁️ SaaS 🤖 Artificial Intelligence 💰 Private Equity Round on 2021-08 Enterprise
SaaS
Artificial Intelligence Bounteous is a digital solutions firm known for its co-innovation model, which assists leading brands in navigating digital transformations and enhancing user experiences. The company partners with businesses from various sectors such as financial services, healthcare, telecommunications, retail, and convenience, to deliver data-driven solutions. Bounteous offers expertise in areas including artificial intelligence, data analytics, digital commerce, and cloud enablement, helping its clients harness technology for sustained growth and brand loyalty. With a global presence, Bounteous is dedicated to creating personalized and effective digital strategies that drive business success. Senior Snowflake Engineer 🔥 1 hour ago 🇨🇦 Canada – Remote 💵 $102k - $133k / year ⏰ Full Time 🟠 Senior 👷🏻‍♀️ Engineer Airflow AWS Azure Cloud ETL Google Cloud Platform Python SQL Vault Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Design, develop, and maintain scalable data pipelines and ELT/ETL workflows on Snowflake, integrating data from diverse internal and external sources.
Architect and optimize Snowflake data models, schemas, and warehouses for performance, reliability, and cost efficiency.
Implement and enforce data governance, security, role-based access controls, and data quality standards across the platform.
Monitor and tune warehouse performance, query execution, and resource consumption to control costs and meet SLAs.
Build and maintain CI/CD pipelines for data infrastructure using tools such as dbt, Git, and orchestration frameworks (e.g., Airflow).
Leverage advanced Snowflake features — Snowpipe, Streams, Tasks, Time Travel, Dynamic Tables, and Snowpark — to deliver near-real-time and automated data solutions.
Collaborate with analysts, data scientists, and business stakeholders to translate requirements into robust data solutions.
Mentor junior engineers, conduct code reviews, and establish best practices for data engineering across the team. 🎯 Requirements
5+ years of data engineering experience, with 3+ years of hands-on Snowflake development in a production environment.
Expert-level SQL skills, including complex query design, optimization, and performance tuning.
Strong experience designing dimensional and/or data vault data models and building ELT pipelines.
Proficiency with dbt for data transformation and modeling.
Hands-on experience with at least one cloud platform (AWS, Azure, or GCP) and its data services.
Programming proficiency in Python for data processing, automation, and scripting.
Proficiency using GenAI and AI-assisted development tools (e.g., Claude Code, ChatGPT/OpenAI, GitHub Copilot, Cursor) to accelerate coding, debugging, and documentation.
Experience with workflow orchestration tools such as Airflow, Dagster, or Prefect.
Solid understanding of data warehousing concepts, data governance, and security best practices.
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Hard Skills & Tools

data engineeringSnowflakeSQLdbtPythondata modelingELTdata governanceworkflow orchestrationdata warehousing

Soft Skills

collaborationmentoringcode reviewsbest practices establishment