We are seeking a highly skilled Senior Data Scientist specializing in data governance, cataloging, and marketplace architectures to drive the configuration and delivery of enterprise-grade data management platforms. In this role, you will lead hands-on implementation of metadata management, data lineage, business glossaries, and automated ingestion pipelines across cloud and on-premises data sources. Working closely with data engineering leads, business analysts, and key stakeholders in an Agile environment, you will translate data governance policies into technical capabilities, execute proof-of-concept solutions, and build self-service data discovery frameworks.
...
Location: Toronto, ON (Fully Onsite – 5 days/week required)
Duration: 7-month contract.
Advantages
Cutting-Edge Data Ecosystem: Hands-on delivery of cloud data governance, automated metadata harvesting, and self-service marketplace solutions.
Strategic Execution: Drive end-to-end proof-of-concept design and MVP capability roadmaps for enterprise-wide adoption.
Cross-Platform Integration: Connect governance frameworks directly across cloud platforms, data lakes, and business intelligence suites.
Focused Onsite Collaboration: Work alongside senior data engineers and analysts in a dedicated 5-day per week onsite environment.
Responsibilities
Configure and implement data governance, data catalog, and data marketplace capabilities within cloud data management environments.
Build metadata ingestion pipelines to automate harvesting, data lineage tracking, and data quality integrations from source systems.
Establish business glossaries, data domains, data classifications, ownership models, and automated stewardship workflows.
Lead the solution design and execution of phased governance and marketplace proof-of-concept (POC) initiatives.
Collaborate with data engineering teams to integrate governance framework controls across cloud data platforms, relational databases, and analytics suites.
Translate governance policies and business needs into technical specifications, user stories, and architecture configurations.
Produce technical documentation, runbooks, configuration guides, and knowledge transfer materials for production transition.
Qualifications
Data Governance & Management Seniority: 5+ years of hands-on experience in data management, metadata management, or enterprise data governance solutions (Strictly Required).
Informatica Governance Tooling: 2+ years of hands-on experience implementing enterprise data cataloging, cloud data governance, or data marketplace solutions (Strictly Required).
Governance Framework Mastery: Deep understanding of data governance frameworks, metadata management, data lineage, data quality principles, and stewardship workflows (Strictly Required).
SQL & Data Platform Integration: Strong SQL proficiency and proven experience integrating data governance platforms with cloud and on-premises data sources (Strictly Required).
Agile Execution: Proven track record delivering data projects within structured Agile development environments (Strictly Required).
Nice-to-Have Assets:
Hands-on experience with cloud data platforms (e.g., Azure Data Factory) and business intelligence tools (e.g., Power BI).
Relevant data management certifications or alignment with DAMA-DMBOK principles.
Summary
If you're interested in the "Senior Data Scientist" role based in Toronto, we encourage you to apply online at www.randstad.ca.
Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
show more
We are seeking a highly skilled Senior Data Scientist specializing in data governance, cataloging, and marketplace architectures to drive the configuration and delivery of enterprise-grade data management platforms. In this role, you will lead hands-on implementation of metadata management, data lineage, business glossaries, and automated ingestion pipelines across cloud and on-premises data sources. Working closely with data engineering leads, business analysts, and key stakeholders in an Agile environment, you will translate data governance policies into technical capabilities, execute proof-of-concept solutions, and build self-service data discovery frameworks.
Location: Toronto, ON (Fully Onsite – 5 days/week required)
Duration: 7-month contract.
Advantages
Cutting-Edge Data Ecosystem: Hands-on delivery of cloud data governance, automated metadata harvesting, and self-service marketplace solutions.
Strategic Execution: Drive end-to-end proof-of-concept design and MVP capability roadmaps for enterprise-wide adoption.
Cross-Platform Integration: Connect governance frameworks directly across cloud platforms, data lakes, and business intelligence suites.
...
Focused Onsite Collaboration: Work alongside senior data engineers and analysts in a dedicated 5-day per week onsite environment.
Responsibilities
Configure and implement data governance, data catalog, and data marketplace capabilities within cloud data management environments.
Build metadata ingestion pipelines to automate harvesting, data lineage tracking, and data quality integrations from source systems.
Establish business glossaries, data domains, data classifications, ownership models, and automated stewardship workflows.
Lead the solution design and execution of phased governance and marketplace proof-of-concept (POC) initiatives.
Collaborate with data engineering teams to integrate governance framework controls across cloud data platforms, relational databases, and analytics suites.
Translate governance policies and business needs into technical specifications, user stories, and architecture configurations.
Produce technical documentation, runbooks, configuration guides, and knowledge transfer materials for production transition.
Qualifications
Data Governance & Management Seniority: 5+ years of hands-on experience in data management, metadata management, or enterprise data governance solutions (Strictly Required).
Informatica Governance Tooling: 2+ years of hands-on experience implementing enterprise data cataloging, cloud data governance, or data marketplace solutions (Strictly Required).
Governance Framework Mastery: Deep understanding of data governance frameworks, metadata management, data lineage, data quality principles, and stewardship workflows (Strictly Required).
SQL & Data Platform Integration: Strong SQL proficiency and proven experience integrating data governance platforms with cloud and on-premises data sources (Strictly Required).
Agile Execution: Proven track record delivering data projects within structured Agile development environments (Strictly Required).
Nice-to-Have Assets:
Hands-on experience with cloud data platforms (e.g., Azure Data Factory) and business intelligence tools (e.g., Power BI).
Relevant data management certifications or alignment with DAMA-DMBOK principles.
Summary
If you're interested in the "Senior Data Scientist" role based in Toronto, we encourage you to apply online at www.randstad.ca.
Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
show more
