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Data Operations Jobs in Ontario (NOW HIRING)

Td

Data Platform Engineering Manager

Toronto, ON · On-site

CA$115K - CA$163K/yr

Data Operations & Reliability * Establish monitoring and observability capabilities to ensure platform health and data reliability. * Define operational support processes, service-level agreements ...

Omers

Associate Director, Data Platforms

Toronto, ON · On-site

Role Summary Reporting to the Director, AI Strategy and Data Platforms, as the Associate Director, Data Platforms, your primary accountability is to operationalize and evolve the enterprise data ...

U Education Management Pvt. Ltd.

Tasks Include Data operations: moderating and classifying catalog, tagging content for a consumer\/ social app, etc. Outbound calling operations: calling contacts to collect\/ update information ...

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All JobsData Operations JobsData Operations Jobs in Ontario

Data Operations information

See Ontario salary details

$24K

$80.8K

$167K

How much do data operations jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data operations in Ontario is $80,838.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $107,500.00 per year, depending on experience, location, and employer.

What is a data operations?

A Data Operations job involves managing and optimizing the processes, tools, and workflows that ensure the efficient movement, storage, and accessibility of data. This includes data ingestion, transformation, quality assurance, and pipeline monitoring to support analytics and business intelligence. Data Operations professionals collaborate with engineers, analysts, and business teams to improve data reliability, scalability, and performance. Their role is critical in maintaining clean, accessible, and well-governed data for decision-making.

What is the role of data operations?

Data operations involve managing, processing, and maintaining data to ensure its accuracy, availability, and security for organizational use. Professionals in this role often work with data management tools, databases, and automation processes to support data-driven decision-making.

What types of teams and departments does data operations typically collaborate with?

Data Operations professionals often work closely with data engineering, business intelligence, IT, and analytics teams, as well as stakeholders from various business units such as marketing, finance, and operations. Their role frequently involves coordinating data pipelines, troubleshooting data quality issues, and ensuring smooth integration across systems. This cross-functional collaboration helps align data efforts with organizational goals and supports informed decision-making throughout the company. Being adaptable and communicative is key, as you'll regularly facilitate the flow of data and insights between technical teams and business users.

What are the key skills and qualifications needed to thrive in data operations, and why are they important?

To thrive in Data Operations, you need strong analytical skills, data management experience, and a background in fields like information systems, computer science, or statistics. Familiarity with data visualization tools (e.g., Tableau), database management systems (e.g., SQL), and data integration platforms, along with relevant certifications such as AWS or Microsoft Azure Data Engineer, are highly valuable. Exceptional attention to detail, problem-solving ability, and effective collaboration skills differentiate top performers in this role. These competencies ensure accurate data flow, system integrity, and seamless cross-team cooperation, all of which are critical for maintaining reliable business operations.

What are the most commonly searched types of Data Operations jobs in Ontario? The most popular types of Data Operations jobs in Ontario are:
What are popular job titles related to Data Operations jobs in Ontario? For Data Operations jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Operations jobs in Ontario look for? The top searched job categories for Data Operations jobs in Ontario are:
Data Operations jobs near you
Infographic showing various Data Operations job openings in Ontario as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $80,838 per year, or $38.9 per hour.

Lead Data Support Analyst

Talent To Hire Inc.

Toronto, ON • On-site

Full-time

Re-posted 28 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

For more jobs check us here: https://www.linkedin.com/company/talenttohire