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Remote Data Steward Jobs in Ontario (NOW HIRING)

Fully Remote Employment Type: Contractor Vacancy Status: New RESPONSIBILITIES * Collaborate with ... Serve as a steward of critical operational and business data assets, maximizing their value to ...

Marketing Manager

Toronto, ON · Remote

$120K - $140K/yr

Remote In Canada - GTA preferably Reporting to General Manager Salary: 120K - 140k Travel ... The role translates business objectives into high-performing, data-driven go-to market plans and ...

Marketing Manager

Toronto, ON · Remote

$120K - $140K/yr

Remote In Canada - GTA preferably Reporting to General Manager Salary: 120K - 140k Travel ... The role translates business objectives into high-performing, data-driven go-to market plans and ...

Senior Business Systems Architect

Kitchener, ON · On-site +1

CA$110K - CA$130K/yr

We're a remote-first company with a collaboration hub in downtown Kitchener-and we're growing ... Define and steward the data model and source-of-truth across Salesforce, Snowflake, and the product ...

Director, Operational Excellence

Toronto, ON · On-site +1

CA$210K - CA$220K/yr

This role is offered as a remote position to be home-based, with travel requirements, across either ... Leverage data and analytics to identify improvement opportunities and support decision-making ...

Director, Operational Excellence

Toronto, ON · On-site +1

CA$210K - CA$220K/yr

This role is offered as a remote position to be home-based, with travel requirements, across either ... Leverage data and analytics to identify improvement opportunities and support decision-making ...

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Remote Data Steward information

What is a remote data steward?

A Remote Data Steward is responsible for managing and maintaining data quality, consistency, and accuracy for an organization while working remotely. They ensure data governance policies are followed, monitor data integrity, and collaborate with teams to improve data management processes. This role often involves data validation, cleansing, and documentation to support business intelligence and decision-making. Remote Data Stewards use various tools to track and resolve data discrepancies while ensuring compliance with industry standards.

What are the main responsibilities of a remote data steward on a day-to-day basis?

As a Remote Data Steward, your typical day involves overseeing data quality, implementing data governance policies, and troubleshooting data integrity issues. You’ll frequently collaborate with data analysts, IT teams, and business stakeholders to ensure that data standards and compliance requirements are consistently met. Documentation, data mapping, and responding to data access or correction requests are also common aspects of the role. Regular virtual meetings and proactive communication are important for staying aligned with team objectives and driving data initiatives forward. This role is well-suited for detail-oriented professionals comfortable managing tasks independently in a remote work environment.

What are the key skills and qualifications needed to thrive as a remote data steward, and why are they important?

To thrive as a Remote Data Steward, you need a strong background in data management, data governance, and information systems, often supported by a bachelor’s degree in a related field. Familiarity with data governance platforms, SQL, data quality tools, and relevant certifications like DAMA-DMBOK are highly valued. Strong analytical thinking, attention to detail, and effective remote communication set top candidates apart. These abilities are crucial for maintaining data integrity, ensuring compliance, and collaborating efficiently within distributed teams.

How do I become a remote data steward?

To become a remote data steward, candidates typically need a bachelor's degree in information management, data science, or a related field, along with experience in data governance, quality, or management. Skills in data tools such as SQL, Excel, and data cataloging software are important, and certifications like Certified Data Management Professional (CDMP) can enhance prospects. Strong communication skills and the ability to work independently are also valuable for remote roles.

How much does a remote data steward earn?

A remote data steward typically earns between $50,000 and $80,000 annually, depending on experience, industry, and location. Salaries can vary based on certifications, technical skills, and the complexity of data management tasks involved.

What are popular job titles related to Remote Data Steward jobs in Ontario?

For Remote Data Steward jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Remote Data Steward jobs in Ontario look for?

The top searched job categories for Remote Data Steward jobs in Ontario are:

Infographic showing various Remote Data Steward job openings in Ontario as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Full-time

Retirement, PTO

Posted 18 days ago


Job description

Data. Discovery. Better Health.

ICES is a world-leadinghealth research and analytics institute. With a wealth of data and analytic expertise, we create trusted evidence that has changed health policy and practice and helps ensure better health for all.

Ready to discover more with us? Join our outstanding, collaborative team where your skills, knowledge and curiosity are valued and can change the future of health care.



At ICES, we recognize what matters most to our employees. Some of the great benefits of working at ICES include:

  • Flexible remote work arrangements anywhere in Ontario
  • Competitive Compensation
  • Comprehensive Benefits Program
  • HOOPP Pension Plan (Defined Pension)
  • Employee Assistance Program and Dialogue Well Being Program
  • Generous vacation, float and caregiver days for all employees
  • Education Fund and Dedicated Education Days
  • Holiday Closure
  • Perkopolis Employee Discount Program


Introduction:

ICES is seeking a Data Architect to join our Data Quality and Information Management department (DQIM). Reporting to the Director, DQIM, the Data Architect provides expertise in data architecture, data governance, data processing, data security, and data modernization across ICES data environments. The role is responsible for developing and implementing enterprise data architecture strategies, ensuring secure and efficient data management practices, supporting analytics and AI initiatives, and enabling the effective use of data assets to support ICES' research and operational objectives.


Responsibilities of the position include, but may not be limited to:


Data Architecture Strategy, Delivery and Modernization:

  • Develop and maintain ICES' data architecture strategy, roadmap, governance framework including data models, data platforms, analytic environments and AI-enabled capabilities aligned with organizational objectives;
  • Provide expert architectural guidance to senior leadership, DQIM, and Technology teams;
  • Collaborate with cross-functional teams to craft innovative and supportable solutions by utilizing a consultative approach to identify user needs and aligning technical capabilities with organizational objectives.

Data Environment Design & Optimization:

  • Design, optimize, and govern enterprise data architectures and data environments, including data models, data warehouses, data integration frameworks, metadata management, data quality standards, and security controls;
  • Establish architectural principles, patterns, and technical standards that ensure scalable, secure, and efficient data solutions;
  • Collaborate with data engineers, database administrators, and technology teams to translate business and analytic requirements into sustainable architecture designs that support reporting, advanced analytics, AI, and data-sharing initiatives;
  • Provide architectural oversight and guidance throughout implementation to ensure adherence to established standards and future-state architecture.

Architecture Delivery & Modernization:

  • Lead end-to-end data architecture modernization initiatives, including platform evaluation, technical design, implementation, testing, deployment, and continuous improvement of data solutions;
  • Facilitate workshops and meetings with internal and external partners to gather feedback and ensure alignment between business objectives and technical solutions, fostering effective communication and collaboration;
  • Build strong partnerships with cross-functional teams and foster a culture of collaboration, innovation, continuous learning, and accountability.


Innovation, Technology Evaluation & Data Compliance & Stewardship:

  • Research, evaluate, and recommend emerging technologies, data management approaches, and architectural solutions to support innovation, scalability, analytics, and AI adoption;
  • Monitor industry trends, regulatory changes, and emerging technologies to identify opportunities for continuous improvement, innovation, and modernization of the enterprise data ecosystem;
  • Provide architectural guidance on data classification, retention, access controls, and secure data-sharing mechanisms to protect sensitive information and mitigate organizational risk;
  • Develop and maintain architecture standards, specifications, documentation, secure data-sharing processes, and internal/external partnerships to ensure regulatory compliance and effective data stewardship.


Mentorship and Development:

  • Coach and mentor team members and technical staff to strengthen organizational capability;
  • Provide support to team members by developing knowledge sharing materials and conducting hands-on sessions, fostering a collaborative environment that encourages knowledge sharing and professional growth;
  • Promote continuous learning and development by facilitating regular team meetings and knowledge-sharing sessions, ensuring that all team members are engaged in the solution development process and have access to the resources they need.

Other:

  • Other duties as may be assigned within the scope of this position.


Knowledge, skills, and abilities:

Minimum Required Education and Years of Experience:

  • Bachelor's degree in Computer Science, Computer Engineering or related field;
  • 6 years of experience leading engagements from design to implementation of creative data solutions leveraging the latest in Big Data frameworks, supporting on-premises, cloud and hybrid architectures to enable use cases in analytics and AI;
  • Relevant cloud, data architecture, or database certifications.

Preferred Education and Years of Experience:

  • Master's degree in Data Science, Computer Science, Computer Engineering or related field;
  • Experience within healthcare, health research, or public-sector data environments;
  • AWS, Azure, GCP, TOGAF, DAMA/CDMP, or equivalent certifications.

Minimum Required Position-Specific Knowledge and Technical Skills:

  • Expertise in data architecture, data modeling, SQL development, database administration (such as Oracle, SQL Server, DB2, MySQL, MongoDB, NoSQL, etc.) and data lifecycle management;
  • Experience with Data Lake architectures, healthcare data governance, analytics platforms, and AI-enabled data solutions;
  • Familiar with Hive, Pig, Python or other big data processing languages; familiar with Hadoop, SQL, and shell programming;
  • Expertise in data governance, ETL design, data security, and data quality management;
  • Strong documentation, architecture modeling, systems analysis, and technical communication skills;
  • Demonstrated ability to translate complex business, research, and analytic requirements into practical and sustainable architecture solutions;
  • Strong interpersonal skills, with demonstrated experience in collaborating effectively with cross-functional teams;
  • Ability to work independently and resourcefully, taking proactive action to identify issues and solve problems while adapting to changing priorities.

Preferred Position-Specific Knowledge and Technical Skills:

  • Knowledge in providing big data solutions based on open-source technologies;
  • Experience in Healthcare data governance, data management, data mining, etc. is preferred;
  • Excellent project management and organizational skills, with the ability to prioritize workload and manage multiple projects within tight timelines.


This full-time opportunity is for an existing vacancy at ICES Central. The annual salary range for this role is $110,000 - $140,000. Successful candidate must reside within Ontario while working under our remote flex model and be able to come into the office when required from time to time.

Security clearance may be required.

Interested candidates should submit their resume and cover letter detailing how their knowledge, skills and abilities match the scope of this position.

ICES is committed to ensuring equity in employment. Our goal is to attract, develop, and retain highly talented employees from diverse backgrounds allowing us to benefit from a wide variety of experiences and perspectives. ICES strongly encourages applications from candidates from equity-deserving communities including but not limited to First Nations, Metis, Inuit, Black and racialized, 2SLGBTQIA+, and persons with visible and non-visible disabilities.

ICES is committed to providing accessible employment practices, in compliance with the Accessibility for Ontarians with Disabilities Act, 2005 (AODA). Applicants are asked to make accommodation requests to ICES and we will make every effort to ensure that accommodation requests are met throughout the recruitment process.

We thank all applicants for their interest in working at ICES. Due to the volume of applications received, only applicants being considered for the position will be contacted for further discussions.