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Snowflake Jobs in Toronto, ON (NOW HIRING)

Senior Data Engineer

Toronto, ON · Hybrid

CA$120K - CA$145K/yr

Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure ...

Senior Data Engineer

Toronto, ON · Hybrid

CA$120K - CA$145K/yr

Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure ...

Build and optimize data models within Snowflake for high-performance querying. * Ensure data privacy during integrations using masking and/or other anonymization/aggregation technology * Ensure data ...

You will work 70-80% hands-on across AWS (EKS, S3, RDS, EMR, Glue, Airflow), Snowflake, Spark, and dbt to deliver cloud-native, governed, and reliable data systems. What will you do? * Technical ...

Data Engineer

Toronto, ON · Hybrid

CA$90K - CA$125K/yr

Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure ...

Data Engineer

Toronto, ON · Hybrid

CA$90K - CA$125K/yr

Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure ...

Design, build and deploy scalable data engineering pipelines using Snowflake, AWS and Matillion * Develop high-quality, reusable and maintainable data solutions following engineering best practices

Senior Manager, Data Engineering

Toronto, ON · On-site +1

CA$142K - CA$177K/yr

You will lead the migration to modern data platforms, including Snowflake, while advancing DataOps and MLOps capabilities that support analytics, machine learning, and business intelligence ...

Senior Data Engineer

Toronto, ON · On-site

CA$110K - CA$145K/yr

Recommend scalable data architectures using AWS, Snowflake, and modern data stack tools. * Ensure data quality, observability, and governance across systems. * Lead or support migration projects to ...

Software Developer

Toronto, ON · On-site

CA$97K - CA$100K/yr

Optimize data analytics and warehousing workflows with Snowflake, MySQL, and PostgreSQL. * Ensure system security and compliance through E2EE, RBAC policies, and performance optimizations. * Write ...

Showing results 21-40

Snowflake information

What is a Snowflake?

A Snowflake job typically refers to tasks executed within Snowflake, a cloud-based data platform. These jobs can include data loading, transformation, querying, or scheduled tasks using Snowflake's task and stream features. They help automate data workflows, improve performance, and ensure efficient data management within the Snowflake ecosystem.

What are the key skills and qualifications needed to thrive in the Snowflake position?

To thrive as a Snowflake professional (such as a Snowflake Data Engineer or Administrator), you need a solid understanding of cloud data warehousing, SQL, and data modeling, typically supported by a degree in computer science or related fields. Experience with the Snowflake platform, data integration tools (like Informatica or Talend), and relevant certifications such as SnowPro are highly valuable. Strong problem-solving abilities, communication skills, and adaptability help professionals translate business requirements into data solutions and work effectively with cross-functional teams. These competencies are crucial for optimizing data workflows, ensuring system performance, and supporting the data-driven goals of an organization.

What are some common challenges faced by Snowflake professionals, and how can they be addressed?

Snowflake professionals often encounter challenges such as optimizing query performance, managing data security and access controls, and integrating Snowflake with multiple data sources. Addressing these challenges requires continuous learning about the platform’s evolving features, proactively monitoring query and storage usage, and collaborating closely with data architects, DevOps, and IT security teams. Staying up to date with best practices and regularly attending Snowflake community webinars or training can also be extremely helpful. Most companies encourage knowledge sharing and collaboration, so being proactive in problem-solving will help you thrive in this role.

Does Snowflake offer remote jobs?

Snowflake offers remote job opportunities for various roles, including data engineers, analysts, and software engineers. Many positions are fully remote or have flexible work arrangements, often requiring proficiency with cloud platforms and collaboration tools. Candidates should review specific job listings for location and remote work options.

Is Snowflake a good career?

A career as a Snowflake professional typically involves working with cloud data platforms, data warehousing, and SQL skills. It offers opportunities in data engineering, analytics, and cloud computing, with demand driven by the growth of data-driven decision making. Certifications and continuous learning can enhance job prospects in this field.

What exactly does Snowflake do?

A Snowflake professional typically works with the Snowflake data platform, which is a cloud-based data warehousing service. They manage data integration, optimize queries, and ensure data security within the platform, often using SQL and cloud infrastructure skills. The role involves supporting data analytics and business intelligence initiatives.

What are the most commonly searched types of Snowflake jobs in Toronto, ON?

The most popular types of Snowflake jobs in Toronto, ON are:

Infographic showing various Snowflake job openings in Toronto, ON as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 58% In-person, 17% Hybrid, and 25% Remote job distribution.

Lead Data Support Analyst

Talent To Hire Inc.

Toronto, ON • On-site

Full-time

Re-posted 11 days ago


Job description

Job Title: Lead Data Support Analyst
Location: Toronto, ON (Hybrid)
Department: Wealth Technologies

We are interviewing for our client seeking a Lead Data Support Analyst to oversee and directly contribute to the daily reliability and performance of its enterprise data and reporting ecosystem. This hybrid role blends hands-on technical troubleshooting with team leadership responsibilities.

The successful candidate will lead a team of analysts supporting critical data workflows and serve as a key liaison between business stakeholders, data engineering, and reporting teams. This role requires deep technical expertise, strong leadership skills, and the ability to diagnose and resolve complex data issues efficiently — ensuring the client’s reporting platforms remain accurate, trusted, and continuously available.Background in financial services preferred. Our client utilizes Snowflake as its primary data warehouse and Sigma as the reporting platform. This role leads a team of data support analysts, ensuring the reliability, accuracy, and smooth operation of data and reporting systems.

Key Responsibilities:
  • Lead and mentor a team managing support tickets, data issues, and platform concerns

  • Troubleshoot and resolve data load failures, access issues, and reporting anomalies across Snowflake, Sigma, and related tools

  • Monitor daily data operations and ensure scheduled pipelines and reports run smoothly

  • Act as the primary escalation point for complex or high-impact data issues

  • Collaborate with reporting analysts and business users to ensure data accuracy and consistency

  • Work with data engineering to resolve root causes of recurring issues and implement long-term solutions

  • Maintain documentation, runbooks, and dashboards to track support activity and performance

  • Identify opportunities to improve support processes through automation and better monitoring

Qualifications:
  • 5+ years of experience in data analytics, operations, or platform support (including 2+ years in a leadership role)

  • Strong hands-on skills in Snowflake, SQL, and modern data ecosystems

  • Experience with Sigma or other BI tools (e.g., Tableau, Power BI)

  • Proven ability to lead teams, resolve technical issues, and communicate with stakeholders across departments

  • Proven experience with support tools like Jira, Confluence, or ServiceNow

  • Degree in Computer Science, Information Systems, or a related field

  • Solid understanding of incident response and root cause analysis

Screening Questions:

1-Describe a time you resolved a critical data pipeline or reporting failure. What tools did you use and how did you troubleshoot it?

2-What hands-on experience do you have with Snowflake and reporting tools like Sigma, Tableau, or Power BI?

3-How do you lead and prioritize during a high-impact data issue involving multiple teams?

4-Give an example of how you improved or automated a support process in your last 2 jobs?

Send your resume to: sasha@talenttohire.com

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